Due to the increasing demand for electrical energy worldwide and environmental concerns, modern power systems are looking for a fundamental change. These changes include reducing dependence on the primary electricity grid and using renewable energy sources on a large scale. The emergence of microgrids in electrical energy systems will improve the level of these systems due to technical, economic, and environmental benefits. In this research work, the authors have conducted extensive studies on control methods, types of power sources, and the size of microgrids and analyzed them in tabular form. In addition, the review of communication technologies and standards in microgrids, as well as the review of microgrid energy management systems to optimize the efficiency of microgrids, is one of the main goals of the authors in this article. Also, in this article, the top 10 trends of microgrids in 2023 have been examined to increase the flexibility of network infrastructure, which helps readers to improve their strategic decisions by providing an overview of emerging technologies in the energy industry.
{"title":"State-of-the-art review on energy management systems, challenges and top trends of renewable energy based microgrids","authors":"Yefan Wu, JinZhu Cui, Caiyan Liu","doi":"10.4108/ew.4124","DOIUrl":"https://doi.org/10.4108/ew.4124","url":null,"abstract":"Due to the increasing demand for electrical energy worldwide and environmental concerns, modern power systems are looking for a fundamental change. These changes include reducing dependence on the primary electricity grid and using renewable energy sources on a large scale. The emergence of microgrids in electrical energy systems will improve the level of these systems due to technical, economic, and environmental benefits. In this research work, the authors have conducted extensive studies on control methods, types of power sources, and the size of microgrids and analyzed them in tabular form. In addition, the review of communication technologies and standards in microgrids, as well as the review of microgrid energy management systems to optimize the efficiency of microgrids, is one of the main goals of the authors in this article. Also, in this article, the top 10 trends of microgrids in 2023 have been examined to increase the flexibility of network infrastructure, which helps readers to improve their strategic decisions by providing an overview of emerging technologies in the energy industry.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"54 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ajit Singh, M.M.H. College, G. F. R. P. Extension, Pallav Puram, Meerut Modi Puram
Sustainable economic development is crucial to secure human welfare and eliminate social inequality. Global leaders have recently made progress towards reaching an agreement on how to convert the current unsustainable economic trends into sustainable green economic growth. The viability of the green economy depends on several variables, including governmental policy, the business climate, and environmental concerns. The presented paper examines the implementation of green economic policies and analyses government strategies and initiatives taken by the government at the national level. The study uses a descriptive-analytical approach. The study finds India is putting many regulations and initiatives into place to encourage the effective use of energy in a variety of economic areas, including green building, equipment, farming, mobility, and fuels. These green growth initiatives lower the economy's carbon intensity and provide a sizable number of green jobs.
{"title":"Green Economic Policies, Strategies & Initiatives of India","authors":"Ajit Singh, M.M.H. College, G. F. R. P. Extension, Pallav Puram, Meerut Modi Puram","doi":"10.4108/ew.4659","DOIUrl":"https://doi.org/10.4108/ew.4659","url":null,"abstract":"Sustainable economic development is crucial to secure human welfare and eliminate social inequality. Global leaders have recently made progress towards reaching an agreement on how to convert the current unsustainable economic trends into sustainable green economic growth. The viability of the green economy depends on several variables, including governmental policy, the business climate, and environmental concerns. The presented paper examines the implementation of green economic policies and analyses government strategies and initiatives taken by the government at the national level. The study uses a descriptive-analytical approach. The study finds India is putting many regulations and initiatives into place to encourage the effective use of energy in a variety of economic areas, including green building, equipment, farming, mobility, and fuels. These green growth initiatives lower the economy's carbon intensity and provide a sizable number of green jobs.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"103 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138958620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
According to the World Bank, Climate-smart agriculture encompasses the comprehensive management of landscapes, including land under cultivation, livestock, woodland areas, and aquatic resources, addressing the interconnected issues of food security and climate change. United Nations Population Fund or UNFPAs Population dashboard shows India’s population at 1406.6 million with an annual average rate of population increase at 0.9% from 2020-25. To meet this food demand, it is imperative for India to adapt sustainable agricultural practices. The IPCC (Inter-governmental panel on climate change) report has pointed out that climate change has affected food security due to global warming and extremes of temperatures around the World. In light of these facts, India faces the unique challenge of developing a path of enhancing the country’s food supply, ensuring water availability while minimizing agricultural GHGs (Greenhouse emissions) which are estimated to be 14% of its total GHG emissions. In the 2021 Global Climate Risk Index (CRI), India was ranked 7th, with a CRI score of 16.67. This paper aims at understanding the theoretical and conceptual framework of climate smart agriculture and presents an insight into how the objectives of food sufficiency, change in climatic conditions and greenhouse gas emissions are being met in India through policies, institutions and financial models.
{"title":"Climate Smart Agriculture Practices in India","authors":"Manisha Singh, Fatima Qasim Hasan","doi":"10.4108/ew.4645","DOIUrl":"https://doi.org/10.4108/ew.4645","url":null,"abstract":"According to the World Bank, Climate-smart agriculture encompasses the comprehensive management of landscapes, including land under cultivation, livestock, woodland areas, and aquatic resources, addressing the interconnected issues of food security and climate change. United Nations Population Fund or UNFPAs Population dashboard shows India’s population at 1406.6 million with an annual average rate of population increase at 0.9% from 2020-25. To meet this food demand, it is imperative for India to adapt sustainable agricultural practices. The IPCC (Inter-governmental panel on climate change) report has pointed out that climate change has affected food security due to global warming and extremes of temperatures around the World. In light of these facts, India faces the unique challenge of developing a path of enhancing the country’s food supply, ensuring water availability while minimizing agricultural GHGs (Greenhouse emissions) which are estimated to be 14% of its total GHG emissions. In the 2021 Global Climate Risk Index (CRI), India was ranked 7th, with a CRI score of 16.67. This paper aims at understanding the theoretical and conceptual framework of climate smart agriculture and presents an insight into how the objectives of food sufficiency, change in climatic conditions and greenhouse gas emissions are being met in India through policies, institutions and financial models.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":" 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138962245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neha Seth, Saif Siddiqui, Muhammed Asif PC, Anu Agnihotri, Muskan Gupta
INTRODUCTION: A developing economy lacks the infrastructure required to produce renewable energy sources on a large scale that can be coupled with conventional resources. This prevents the economy from taking advantage of these types of resources. The emergence of the electric vehicles (EVs) industry has been a primary catalyst for both the expansion of the economy and the production of new employment opportunities. The manufacturing and distribution of electronic automobiles have cleared the way for the construction of new manufacturing locations as well as a supply chain. This has been made possible as a result of the increased demand for EVs. OBJECTIVES: The objectives of this article are to know the overall impact of EVs on the environment through a review of the literature and to study if ongoing changes affect the economy of India. METHODS: The systematic review of literature is used to fulfil the objectives of the study. RESULTS: EVs offer a solution to reducing air pollution and greenhouse gas emissions due to their zero tailpipe emissions. They eliminate pollutants like nitrogen oxide and particulate matter, improving air quality and public health. EVs, powered by renewable energy sources like solar, wind, or hydroelectric power, reduce reliance on fossil fuels. Their higher energy efficiency and technological advancements in batteries also create employment and innovative economic opportunities. Additionally, EVs contribute to quieter and more serene environments, especially in densely populated areas, due to their silent operation. CONCLUSION: It can be concluded that the adoption of EVs has both positive and negative impacts on economy countries. But as compared to negative impacts, positive impacts are very high on the economic condition of any country.
{"title":"Energizing Tomorrow: Analyzing the Transformative Potential of Electric Vehicle Adoption","authors":"Neha Seth, Saif Siddiqui, Muhammed Asif PC, Anu Agnihotri, Muskan Gupta","doi":"10.4108/ew.4611","DOIUrl":"https://doi.org/10.4108/ew.4611","url":null,"abstract":"INTRODUCTION: A developing economy lacks the infrastructure required to produce renewable energy sources on a large scale that can be coupled with conventional resources. This prevents the economy from taking advantage of these types of resources. The emergence of the electric vehicles (EVs) industry has been a primary catalyst for both the expansion of the economy and the production of new employment opportunities. The manufacturing and distribution of electronic automobiles have cleared the way for the construction of new manufacturing locations as well as a supply chain. This has been made possible as a result of the increased demand for EVs. \u0000OBJECTIVES: The objectives of this article are to know the overall impact of EVs on the environment through a review of the literature and to study if ongoing changes affect the economy of India. \u0000METHODS: The systematic review of literature is used to fulfil the objectives of the study. \u0000RESULTS: EVs offer a solution to reducing air pollution and greenhouse gas emissions due to their zero tailpipe emissions. They eliminate pollutants like nitrogen oxide and particulate matter, improving air quality and public health. EVs, powered by renewable energy sources like solar, wind, or hydroelectric power, reduce reliance on fossil fuels. Their higher energy efficiency and technological advancements in batteries also create employment and innovative economic opportunities. Additionally, EVs contribute to quieter and more serene environments, especially in densely populated areas, due to their silent operation. \u0000CONCLUSION: It can be concluded that the adoption of EVs has both positive and negative impacts on economy countries. But as compared to negative impacts, positive impacts are very high on the economic condition of any country.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"59 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138999336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Srishti Dikshit, Areeba Atiq, Mohammad Shahid, Vinay Dwivedi, Aarushi Thusu
The swift urbanization of cities has given rise to an unparalleled surge in vehicular traffic, leading to substantial congestion, heightened pollution, and a diminished quality of life. This investigation explores the capacity of artificial intelligence (AI) to transform urban mobility by optimizing vehicle routing and alleviating traffic congestion. The objective is to create AI-powered solutions that augment transportation efficiency, diminish travel times, and mitigate environmental repercussions. This paper thoroughly scrutinizes existing AI algorithms, vehicle routing, and traffic management techniques. The study integrates real-time traffic data, road network characteristics, and individual travel patterns to formulate intelligent routing strategies. The proposed AI system adjusts to dynamic traffic conditions through machine learning and optimization algorithms, pinpointing optimal routes and redistributing traffic flows to minimize congestion hotspots. To assess the effectiveness of the AI-driven approach, extensive simulations and case studies are conducted in representative urban areas. Performance metrics, including travel time reduction, fuel consumption, and emissions reduction, are employed to quantify the impact of the proposed system on traffic congestion and environmental sustainability. Furthermore, the study evaluates the scalability, feasibility, and economic viability of implementing AI-based traffic management solutions on a larger scale. The outcomes of this research provide valuable insights into the potential advantages of AI in reshaping urban mobility. By optimizing vehicle routing and diminishing traffic congestion, the proposed AI-driven system has the potential to elevate overall transportation efficiency, reduce energy consumption, and contribute to a healthier urban environment. The findings carry substantial implications for policymakers, urban planners, and transportation authorities seeking innovative solutions to tackle the challenges of contemporary urbanization while promoting sustainable development.
{"title":"The Use of Artificial Intelligence to Optimize the Routing of Vehicles and Reduce Traffic Congestion in Urban Areas","authors":"Srishti Dikshit, Areeba Atiq, Mohammad Shahid, Vinay Dwivedi, Aarushi Thusu","doi":"10.4108/ew.4613","DOIUrl":"https://doi.org/10.4108/ew.4613","url":null,"abstract":"The swift urbanization of cities has given rise to an unparalleled surge in vehicular traffic, leading to substantial congestion, heightened pollution, and a diminished quality of life. This investigation explores the capacity of artificial intelligence (AI) to transform urban mobility by optimizing vehicle routing and alleviating traffic congestion. The objective is to create AI-powered solutions that augment transportation efficiency, diminish travel times, and mitigate environmental repercussions. This paper thoroughly scrutinizes existing AI algorithms, vehicle routing, and traffic management techniques. The study integrates real-time traffic data, road network characteristics, and individual travel patterns to formulate intelligent routing strategies. The proposed AI system adjusts to dynamic traffic conditions through machine learning and optimization algorithms, pinpointing optimal routes and redistributing traffic flows to minimize congestion hotspots. To assess the effectiveness of the AI-driven approach, extensive simulations and case studies are conducted in representative urban areas. Performance metrics, including travel time reduction, fuel consumption, and emissions reduction, are employed to quantify the impact of the proposed system on traffic congestion and environmental sustainability. Furthermore, the study evaluates the scalability, feasibility, and economic viability of implementing AI-based traffic management solutions on a larger scale. The outcomes of this research provide valuable insights into the potential advantages of AI in reshaping urban mobility. By optimizing vehicle routing and diminishing traffic congestion, the proposed AI-driven system has the potential to elevate overall transportation efficiency, reduce energy consumption, and contribute to a healthier urban environment. The findings carry substantial implications for policymakers, urban planners, and transportation authorities seeking innovative solutions to tackle the challenges of contemporary urbanization while promoting sustainable development.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"7 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Young-Chool Choi, Yanghoon Song, Ki Seo Kong, Ahyoun Lee
This paper aims to identify factors that influence the successful implementation of ODA rural development projects for developing countries. To this end, it has analysed the implementation process of a project, ‘The Integrated Rural Development Project in Kyrgyz Republic’, currently being carried out in Kyrgyzstan via Good Neighbors International (GNI) with support from KOICA (Korean International Cooperation Agency). The analysis method employed in this study is decision tree analysis. By means of a review of previous studies on the implementation of ODA projects, variables that are believed to have an impact on the successful implementation of ODA rural development projects were derived. The values of each variable for thirty villages in Kyrgyzstan were derived and used as independent variables, and decision tree analysis was performed using the overall execution performance score for each village as the dependent variable. As a result, it was found that co-operation between field managers active at the project site and village residents was the most important determining factor of success.
{"title":"Analysis of Factors Influencing Successful Implementation of ODA Projects for Rural Development: The Case of Kyrgyzstan","authors":"Young-Chool Choi, Yanghoon Song, Ki Seo Kong, Ahyoun Lee","doi":"10.4108/ew.4387","DOIUrl":"https://doi.org/10.4108/ew.4387","url":null,"abstract":"This paper aims to identify factors that influence the successful implementation of ODA rural development projects for developing countries. To this end, it has analysed the implementation process of a project, ‘The Integrated Rural Development Project in Kyrgyz Republic’, currently being carried out in Kyrgyzstan via Good Neighbors International (GNI) with support from KOICA (Korean International Cooperation Agency). The analysis method employed in this study is decision tree analysis. By means of a review of previous studies on the implementation of ODA projects, variables that are believed to have an impact on the successful implementation of ODA rural development projects were derived. The values of each variable for thirty villages in Kyrgyzstan were derived and used as independent variables, and decision tree analysis was performed using the overall execution performance score for each village as the dependent variable. As a result, it was found that co-operation between field managers active at the project site and village residents was the most important determining factor of success.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"19 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134993457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Srikanth Goud, M. Kiran Kumar, Narisetti Ashok Kumar, CH. Naga Sai Kalyan, Mohit Bajaj, Subhashree Choudhury, Swati Shukla
The efficiency with which electrical equipment use electricity is essential for several reasons. First, superior power quality (PQ) improves efficiency and facilitates peak performance in electronic equipment. This article's goal is to make the advantages of installing a Dynamic Voltage Restorer (DVR) to enhance PQ for energy users clearer. To improve DVR dependability and user friendliness, the suggested technique uses a hysteresis voltage control system that works with variable switching frequency. Simulation findings show that voltage compensation is successful under disturbances when a black widow optimization (BWO) based Factional order proportional derivative (FOPID) controller is used. This paper proposed is to improve PQ using a BWO- FOPID controller and compare the outcomes to those achieved from a previously developed PI controller in a distribution power system using MATLAB.
{"title":"Dynamic Voltage Restorer to Mitigate Voltage Sag/Swell using Black Widow Optimization Technique with FOPID Controller","authors":"B. Srikanth Goud, M. Kiran Kumar, Narisetti Ashok Kumar, CH. Naga Sai Kalyan, Mohit Bajaj, Subhashree Choudhury, Swati Shukla","doi":"10.4108/ew.4331","DOIUrl":"https://doi.org/10.4108/ew.4331","url":null,"abstract":"The efficiency with which electrical equipment use electricity is essential for several reasons. First, superior power quality (PQ) improves efficiency and facilitates peak performance in electronic equipment. This article's goal is to make the advantages of installing a Dynamic Voltage Restorer (DVR) to enhance PQ for energy users clearer. To improve DVR dependability and user friendliness, the suggested technique uses a hysteresis voltage control system that works with variable switching frequency. Simulation findings show that voltage compensation is successful under disturbances when a black widow optimization (BWO) based Factional order proportional derivative (FOPID) controller is used. This paper proposed is to improve PQ using a BWO- FOPID controller and compare the outcomes to those achieved from a previously developed PI controller in a distribution power system using MATLAB.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"65 s296","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135342069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
INTRODUCTION: This research paper presents an innovative method that merges neural networks and random forest algorithms to enhance earthquake prediction.
OBJECTIVES: The primary objective of the study is to improve the precision of earthquake prediction by developing a hybrid model that integrates seismic wave data and various extracted features as inputs.
METHODS: By training a neural network to learn the intricate relationships between the input features and earthquake magnitudes and employing a random forest algorithm to enhance the model's generalization and robustness, the researchers aim to achieve more accurate predictions. To evaluate the effectiveness of the proposed approach, an extensive dataset of earthquake records from diverse regions worldwide was employed.
RESULTS: The results revealed that the hybrid model surpassed individual models, demonstrating superior prediction accuracy. This advancement holds profound implications for earthquake monitoring and disaster management, as the prompt and accurate detection of earthquake magnitudes is vital for effective mitigation and response strategies.
CONCLUSION: The significance of this detection technique extends beyond theoretical research, as it can directly benefit organizations like the National Disaster Response Force (NDRF) in their relief efforts. By accurately predicting earthquake magnitudes, the model can facilitate the efficient allocation of resources and the timely delivery of relief materials to areas affected by natural disasters. Ultimately, this research contributes to the growing field of earthquake prediction and reinforces the critical role of data-driven approaches in enhancing our understanding of seismic events, bolstering disaster preparedness, and safeguarding vulnerable communities.
{"title":"A Novel Approach for Earthquake Prediction Using Random Forest and Neural Networks","authors":"Nidhi Agarwal, Ishika Arora, Harsh Saini, Ujjwal Sharma","doi":"10.4108/ew.4329","DOIUrl":"https://doi.org/10.4108/ew.4329","url":null,"abstract":"INTRODUCTION: This research paper presents an innovative method that merges neural networks and random forest algorithms to enhance earthquake prediction.
 OBJECTIVES: The primary objective of the study is to improve the precision of earthquake prediction by developing a hybrid model that integrates seismic wave data and various extracted features as inputs.
 METHODS: By training a neural network to learn the intricate relationships between the input features and earthquake magnitudes and employing a random forest algorithm to enhance the model's generalization and robustness, the researchers aim to achieve more accurate predictions. To evaluate the effectiveness of the proposed approach, an extensive dataset of earthquake records from diverse regions worldwide was employed.
 RESULTS: The results revealed that the hybrid model surpassed individual models, demonstrating superior prediction accuracy. This advancement holds profound implications for earthquake monitoring and disaster management, as the prompt and accurate detection of earthquake magnitudes is vital for effective mitigation and response strategies.
 CONCLUSION: The significance of this detection technique extends beyond theoretical research, as it can directly benefit organizations like the National Disaster Response Force (NDRF) in their relief efforts. By accurately predicting earthquake magnitudes, the model can facilitate the efficient allocation of resources and the timely delivery of relief materials to areas affected by natural disasters. Ultimately, this research contributes to the growing field of earthquake prediction and reinforces the critical role of data-driven approaches in enhancing our understanding of seismic events, bolstering disaster preparedness, and safeguarding vulnerable communities.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"32 S111","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135343214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
INTRODUCTION: With the advent of the information technology era, rural areas face new environmental protection challenges and opportunities. The rapid development of information technology provides new possibilities for changes in rural ecological behavior. However, understanding the influencing factors of rural environmental behavior in the context of information technology remains an important research topic.
OBJECTIVES: This study aims to reveal the influencing factors of rural environmental behavior in the context of information technology to help governments and policymakers develop effective environmental protection strategies. Specifically, the researchers will focus on the extent to which factors such as education level, ecological awareness, economic status, and social participation influence the environmental behavior of rural residents.
METHODS: A questionnaire survey was used in this study, and residents of a particular rural area were selected as the research subjects. A questionnaire containing questions on education level, environmental awareness, economic status, social participation, and environmental behavior was designed, and a large amount of data was collected through random sampling. Statistical analysis methods, such as regression and correlation analyses, were used to process and interpret the data.
RESULTS: The study's results showed that the education level significantly affected the environmental behavior of rural residents. Residents with higher levels of education were more inclined to take positive ecological protection actions such as waste separation and energy conservation. In addition, environmental awareness was also found to be closely related to environmental behavior, with residents with higher ecological awareness being more concerned about environmental protection and taking action accordingly. Economic status and social participation affected rural residents' environmental behavior to a certain extent but to a lesser extent than education level and ecological awareness.
CONCLUSION: Rural environmental behavior in the context of informatization is affected by a combination of factors. To promote rural ecological protection, the government should strengthen investment in education and improve rural residents' education level and environmental awareness. In addition, social organizations and public participation should also be supported to encourage rural residents to actively participate in environmental protection actions. These measures will help to promote a change in ecological behavior in rural areas and achieve the goal of sustainable development.
{"title":"Empirical Study on Influencing Factors of Rural Environmental Behavior in Informatization","authors":"Jianming Cai, Hong Ling, Chao Yang, Jianfeng Gu","doi":"10.4108/ew.4301","DOIUrl":"https://doi.org/10.4108/ew.4301","url":null,"abstract":"INTRODUCTION: With the advent of the information technology era, rural areas face new environmental protection challenges and opportunities. The rapid development of information technology provides new possibilities for changes in rural ecological behavior. However, understanding the influencing factors of rural environmental behavior in the context of information technology remains an important research topic.
 OBJECTIVES: This study aims to reveal the influencing factors of rural environmental behavior in the context of information technology to help governments and policymakers develop effective environmental protection strategies. Specifically, the researchers will focus on the extent to which factors such as education level, ecological awareness, economic status, and social participation influence the environmental behavior of rural residents.
 METHODS: A questionnaire survey was used in this study, and residents of a particular rural area were selected as the research subjects. A questionnaire containing questions on education level, environmental awareness, economic status, social participation, and environmental behavior was designed, and a large amount of data was collected through random sampling. Statistical analysis methods, such as regression and correlation analyses, were used to process and interpret the data.
 RESULTS: The study's results showed that the education level significantly affected the environmental behavior of rural residents. Residents with higher levels of education were more inclined to take positive ecological protection actions such as waste separation and energy conservation. In addition, environmental awareness was also found to be closely related to environmental behavior, with residents with higher ecological awareness being more concerned about environmental protection and taking action accordingly. Economic status and social participation affected rural residents' environmental behavior to a certain extent but to a lesser extent than education level and ecological awareness.
 CONCLUSION: Rural environmental behavior in the context of informatization is affected by a combination of factors. To promote rural ecological protection, the government should strengthen investment in education and improve rural residents' education level and environmental awareness. In addition, social organizations and public participation should also be supported to encourage rural residents to actively participate in environmental protection actions. These measures will help to promote a change in ecological behavior in rural areas and achieve the goal of sustainable development.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"26 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135820396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work suggests a hybrid African Vultures Optimization Algorithm (AVOA) and Pattern search (hAVOA-PS) based Fuzzy PID (FPID) structure for frequency control of a nonlinear power system with Electric Vehicles (EVs). To illustrate the dominance of the projected hAVOA-PS algorithm, initially PI controllers are considered and results are compared with AVOA, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. To further enhance the dynamic performance, PID and FPID controllers are considered. The dominance of FPID over PID and PI controllers is shown. In the next step, EVs are incorporated in the test system and a comparative analysis of hAVOA-PS based PI/PID/FPID and FPID+EV is presented. To exhibit the superiority of projected frequency control scheme in maintaining the stability of system under different disturbance conditions like load increase in area-1 only, load decrease/increase in all areas, and large load increase in all areas are considered. It is noticed that the suggested hAVOA-PS based FPID controller n presence of EV is able to maintain system stability for all the considered cases where as other compared approaches fail to maintain stability in some cases.
{"title":"Frequency control of power system with electric vehicles using hybrid african vultures optimization algorithm and pattern search tuned fuzzy PID controller","authors":"P M Dash, A K Baliarsingh, Sangram K Mohapatra","doi":"10.4108/ew.135","DOIUrl":"https://doi.org/10.4108/ew.135","url":null,"abstract":"This work suggests a hybrid African Vultures Optimization Algorithm (AVOA) and Pattern search (hAVOA-PS) based Fuzzy PID (FPID) structure for frequency control of a nonlinear power system with Electric Vehicles (EVs). To illustrate the dominance of the projected hAVOA-PS algorithm, initially PI controllers are considered and results are compared with AVOA, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. To further enhance the dynamic performance, PID and FPID controllers are considered. The dominance of FPID over PID and PI controllers is shown. In the next step, EVs are incorporated in the test system and a comparative analysis of hAVOA-PS based PI/PID/FPID and FPID+EV is presented. To exhibit the superiority of projected frequency control scheme in maintaining the stability of system under different disturbance conditions like load increase in area-1 only, load decrease/increase in all areas, and large load increase in all areas are considered. It is noticed that the suggested hAVOA-PS based FPID controller n presence of EV is able to maintain system stability for all the considered cases where as other compared approaches fail to maintain stability in some cases.","PeriodicalId":53458,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136103942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}