Ethiopia is among the East African regions with huge geothermal energy potential due to the presence of geologically active volcanic and hot spring-featured Rift Valley. However, geothermal energy is at its infant stage of utilization not only in Ethiopia but also in the continent of Africa and globally. Regionally, Kenya is the country with advanced extraction of it for electricity generation followed by Ethiopia in East Africa. Generation of electricity from this largely abundant energy resource has an enormous opportunity for societal and regional economic development though it is not an easy process due to the many challenges of the generation process. In this paper, geothermal energy in Ethiopia and the region, the opportunity, barriers with possible solutions, and future perspective are stated.
{"title":"Opportunities, challenges and future perspectives of Geothermal Energy in Ethiopia: A Review","authors":"Tessafa Abrham Ashagrie, Asmare Tezera Admasie","doi":"10.4108/ew.4863","DOIUrl":"https://doi.org/10.4108/ew.4863","url":null,"abstract":"Ethiopia is among the East African regions with huge geothermal energy potential due to the presence of geologically active volcanic and hot spring-featured Rift Valley. However, geothermal energy is at its infant stage of utilization not only in Ethiopia but also in the continent of Africa and globally. Regionally, Kenya is the country with advanced extraction of it for electricity generation followed by Ethiopia in East Africa. Generation of electricity from this largely abundant energy resource has an enormous opportunity for societal and regional economic development though it is not an easy process due to the many challenges of the generation process. In this paper, geothermal energy in Ethiopia and the region, the opportunity, barriers with possible solutions, and future perspective are stated.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139619439","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: India, with its diverse energy needs, is at a crucial point, looking to adopt greener energy options for sustainable future; wherein green hydrogen is emerging as a key player, fitting well with India's renewable energy goals. OBJECTIVES: In this backdrop, this research paper dives into the world of green hydrogen, India's renewable energy regime, and the latest green hydrogen initiatives. The paper highlights how green hydrogen works hand-in-hand with India's broader renewable energy plans, including private public partnerships. The paper also looks at the overview, challenges and future prospects of the green hydrogen framework of India. METHODS: The methodology used in this paper is based on comprehensive analysis of legal documents, statutes and case law, focusing on a systematic examination of judicial decisions and legal principles. RESULTS: The research concludes that green hydrogen holds significant promise for India's energy future, effectively complementing its renewable energy strategies and offering viable solutions to climate change challenges, thereby supporting the achievement of Sustainable Development Goal 7. CONCLUSION: In conclusion, the research paper ends on a hopeful note, suggesting that green hydrogen could be a vital tool in addressing climate change and play a significant role in India's renewable energy regime, aiding in the achievement of SDG7.
{"title":"Indian Green Hydrogen Framework: An Assessment","authors":"Isha Pandey, Sandhya Kumari","doi":"10.4108/ew.4701","DOIUrl":"https://doi.org/10.4108/ew.4701","url":null,"abstract":"INTRODUCTION: India, with its diverse energy needs, is at a crucial point, looking to adopt greener energy options for sustainable future; wherein green hydrogen is emerging as a key player, fitting well with India's renewable energy goals. OBJECTIVES: In this backdrop, this research paper dives into the world of green hydrogen, India's renewable energy regime, and the latest green hydrogen initiatives. The paper highlights how green hydrogen works hand-in-hand with India's broader renewable energy plans, including private public partnerships. The paper also looks at the overview, challenges and future prospects of the green hydrogen framework of India. METHODS: The methodology used in this paper is based on comprehensive analysis of legal documents, statutes and case law, focusing on a systematic examination of judicial decisions and legal principles. RESULTS: The research concludes that green hydrogen holds significant promise for India's energy future, effectively complementing its renewable energy strategies and offering viable solutions to climate change challenges, thereby supporting the achievement of Sustainable Development Goal 7. CONCLUSION: In conclusion, the research paper ends on a hopeful note, suggesting that green hydrogen could be a vital tool in addressing climate change and play a significant role in India's renewable energy regime, aiding in the achievement of SDG7.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"89 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139151972","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}
In order to improve the efficiency and accuracy of mobile robot visual image feature recognition, a mobile robot visual image feature recognition method based on machine vision is proposed in this paper. Firstly, the development of mobile robot vision is analyzed, and the specific functions of robot visual feature recognition method are designed; Then, the Fourier series method is used to collect the mobile robot visual image, and the matrix associated with the autocorrelation function is calculated according to the Harris algorithm to complete the edge feature extraction of the mobile robot visual image; SIFT feature points of mobile robot visual image are classified, and mobile robot visual image feature recognition is realized through machine vision. The experimental results show that when the number of images is 600, the accuracy of image feature recognition and the loss value of image edge feature extraction of this method are 96.98% and 6.38%, respectively, and the number of iterations is 500. The time of visual image feature recognition of this method is only 3 minutes; The method has the lowest error mean and error variance under different noise conditions. This method can effectively improve the efficiency and accuracy of image feature recognition.
{"title":"Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision","authors":"Qin Dong","doi":"10.4108/ew.3450","DOIUrl":"https://doi.org/10.4108/ew.3450","url":null,"abstract":"In order to improve the efficiency and accuracy of mobile robot visual image feature recognition, a mobile robot visual image feature recognition method based on machine vision is proposed in this paper. Firstly, the development of mobile robot vision is analyzed, and the specific functions of robot visual feature recognition method are designed; Then, the Fourier series method is used to collect the mobile robot visual image, and the matrix associated with the autocorrelation function is calculated according to the Harris algorithm to complete the edge feature extraction of the mobile robot visual image; SIFT feature points of mobile robot visual image are classified, and mobile robot visual image feature recognition is realized through machine vision. The experimental results show that when the number of images is 600, the accuracy of image feature recognition and the loss value of image edge feature extraction of this method are 96.98% and 6.38%, respectively, and the number of iterations is 500. The time of visual image feature recognition of this method is only 3 minutes; The method has the lowest error mean and error variance under different noise conditions. This method can effectively improve the efficiency and accuracy of image feature recognition.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"165 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169769","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 rapid development of the power industry, the power system has become more and more complex and prone to failures, which seriously impacts power supply and safety. OBJECTIVES: Development of efficient and accurate fault diagnosis algorithms for power systems. METHODS:Proposes a fault diagnosis algorithm based on outage data to construct an outage fault prediction model using accurate data. First, the outage data are collected, pre-processed, feature extracted and reduced to obtain a more efficient data set. Then, an optimized fault diagnosis algorithm is designed based on logit, support vector machine (SVM) and decision tree (DT) to improve the accuracy and efficiency of fault diagnosis. RESULTS: The method is applied to the natural power system, and the results show that the optimization algorithm outperforms the traditional methods. Specifically, the accuracy of the optimization algorithm can reach 100%, while the accuracy of the traditional logit algorithm and SVM algorithm is only 84% and 93%, which is a significant improvement in the model prediction performance. CONCLUSION: The author can significantly optimize the performance of its model and construct an outage data mining algorithm with a good predictive ability to achieve grid fault research and judgment, which has a specific application value in the practical field.
{"title":"Fault Diagnosis Algorithm Based on Power Outage Data in Power Grid","authors":"Haiyan Wang, Xinping Yuan, Shanfei Gao, Shoushan Gao","doi":"10.4108/ew.4657","DOIUrl":"https://doi.org/10.4108/ew.4657","url":null,"abstract":"INTRODUCTION: With the rapid development of the power industry, the power system has become more and more complex and prone to failures, which seriously impacts power supply and safety. OBJECTIVES: Development of efficient and accurate fault diagnosis algorithms for power systems. METHODS:Proposes a fault diagnosis algorithm based on outage data to construct an outage fault prediction model using accurate data. First, the outage data are collected, pre-processed, feature extracted and reduced to obtain a more efficient data set. Then, an optimized fault diagnosis algorithm is designed based on logit, support vector machine (SVM) and decision tree (DT) to improve the accuracy and efficiency of fault diagnosis. RESULTS: The method is applied to the natural power system, and the results show that the optimization algorithm outperforms the traditional methods. Specifically, the accuracy of the optimization algorithm can reach 100%, while the accuracy of the traditional logit algorithm and SVM algorithm is only 84% and 93%, which is a significant improvement in the model prediction performance. CONCLUSION: The author can significantly optimize the performance of its model and construct an outage data mining algorithm with a good predictive ability to achieve grid fault research and judgment, which has a specific application value in the practical field.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"114 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139170880","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}
Researchers and scientists have developed various approaches and methodologies over time to model and analyze different types of linear programming problems, such as assignment problems and parametric programming problems. This paper provides a critical review and classification of existing modelling approaches and solution methods related to linear programming problems. Moreover, the simplex method is discussed in detail through a comprehensive literature review. The paper concludes by presenting an integrated research framework that is directly applicable to the present context, along with suggestions for future research directions.
{"title":"A Short Literature on Linear Programming Problem","authors":"Shubham Kumar Tripathi, R. Kumar","doi":"10.4108/ew.4516","DOIUrl":"https://doi.org/10.4108/ew.4516","url":null,"abstract":"Researchers and scientists have developed various approaches and methodologies over time to model and analyze different types of linear programming problems, such as assignment problems and parametric programming problems. This paper provides a critical review and classification of existing modelling approaches and solution methods related to linear programming problems. Moreover, the simplex method is discussed in detail through a comprehensive literature review. The paper concludes by presenting an integrated research framework that is directly applicable to the present context, along with suggestions for future research directions.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"340 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139204582","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}
Road deaths and injuries highly affect the lives of people worldwide. road injuries and deaths happen due to improper driving, unfit motor vehicles, traffic laws disobeying persons and poor road condition. An effort is made here to assess the factors of poor road conditions which can be improved by prioritizing. Multi criteria technique is applied to prioritize the factors. Ann technique is adopted to assess the road condition. The methodology suggested can be used to determine the level of contribution of parameters towards safety hazard. Accordingly, appropriate mitigation measures may be adopted. A further detailed study needs to be conducted on a large scale by carrying out sensitivity analysis to test the stability of the ranking obtained by the suggested methods.
道路伤亡事故严重影响着全世界人民的生活。道路伤亡事故发生的原因包括驾驶不当、机动车辆不合适、不遵守交通法规以及道路状况不佳。在此，我们努力评估导致路况差的因素，并通过优先排序来改善这些因素。采用多标准技术对这些因素进行优先排序。采用 Ann 技术评估道路状况。所建议的方法可用于确定各参数对安全隐患的影响程度。因此，可以采取适当的缓解措施。需要通过敏感性分析进行大规模的进一步详细研究，以测试建议方法所获得的排序的稳定性。
{"title":"Assessment of Road Condition: Traffic Safety Requirement","authors":"D. S. Rao, M. S. Rao, V.V.S. Kesava Rao","doi":"10.4108/ew.4472","DOIUrl":"https://doi.org/10.4108/ew.4472","url":null,"abstract":"Road deaths and injuries highly affect the lives of people worldwide. road injuries and deaths happen due to improper driving, unfit motor vehicles, traffic laws disobeying persons and poor road condition. An effort is made here to assess the factors of poor road conditions which can be improved by prioritizing. Multi criteria technique is applied to prioritize the factors. Ann technique is adopted to assess the road condition. The methodology suggested can be used to determine the level of contribution of parameters towards safety hazard. Accordingly, appropriate mitigation measures may be adopted. A further detailed study needs to be conducted on a large scale by carrying out sensitivity analysis to test the stability of the ranking obtained by the suggested methods.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"48 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139238761","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}
In the virtual world, every decision made by executives today need forecasting. Sound forecasting of demand and variations are no longer an extravagance but a necessity, since Operations in the organizations have to deal with the seasonality, sudden changes in capacity management, cost-cutting strategies of the competition, and enormous dynamics of the economy. This paper details the development of a Forecasting and Capacity Planning model to empower operations to consistently forecast incoming volume for scheduling/rostering. A combination of past process-specific data, algorithmic forecasting, Subject Matter Expert (SME) inputs, and modelling results in a forecast with a daily accuracy of up to 85% per month out and approximately 95%-98% per week. The tool leverages the generated forecast to envisage capacity and resource planning. This Capacity Planning tool gives the capacity requirement for the forecasted volume, scheduling, and staffing. The tool has been deployed across 150+ client area. POC (Proof of Concepts) was done across all domains to test the tool and as expected the tools is generating the forecast and schedule with the accuracy of 96.77%.
{"title":"Automated System for forecasting and capacity management in BPO","authors":"Anuraag Anand, JB Simha, Shinu Abhi","doi":"10.4108/ew.4460","DOIUrl":"https://doi.org/10.4108/ew.4460","url":null,"abstract":"In the virtual world, every decision made by executives today need forecasting. Sound forecasting of demand and variations are no longer an extravagance but a necessity, since Operations in the organizations have to deal with the seasonality, sudden changes in capacity management, cost-cutting strategies of the competition, and enormous dynamics of the economy. This paper details the development of a Forecasting and Capacity Planning model to empower operations to consistently forecast incoming volume for scheduling/rostering. A combination of past process-specific data, algorithmic forecasting, Subject Matter Expert (SME) inputs, and modelling results in a forecast with a daily accuracy of up to 85% per month out and approximately 95%-98% per week. The tool leverages the generated forecast to envisage capacity and resource planning. This Capacity Planning tool gives the capacity requirement for the forecasted volume, scheduling, and staffing. The tool has been deployed across 150+ client area. POC (Proof of Concepts) was done across all domains to test the tool and as expected the tools is generating the forecast and schedule with the accuracy of 96.77%.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"30 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139242661","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: The ongoing progress in China's rural revitalization and precision poverty alleviation has led to the gradual implementation of environmental improvement initiatives for rural residents. As a result, rural residents' environmental behavior is now being influenced by informatization interventions. With the deepening of these interventions, various environmental behaviors have emerged. Therefore, it is crucial to study the impact of informatization interventions on rural residents' ecological behavior, focusing specifically on garbage classification and water quality enhancement. OBJECTIVES: To improve the level of China's rural habitat improvement, to improve the mechanism of informatization intervention in the environmental behavior of rural residents; to solve the problem of garbage classification and water quality improvement in the environment of rural residents under the background of informatization intervention, and to improve the level of modernization of China's agriculture and rural areas. METHODS: First, using the theory of informatization intervention to establish a model of informatization intervention in the environmental behavior of rural residents; secondly, using the questionnaire method to investigate and analyze the ecological behavior of rural residents under the background of informatization intervention in the case townships; finally, using the model to analyze the results of the survey and establish the relevant principles of environmental improvement under the background of informatization intervention. RESULTS: Under the background of informatization intervention, there is a significant improvement in the environmental behavior of rural residents, and the efficiency of garbage classification is significantly improved compared with the traditional model; the application of informatization intervention has dramatically improved the efficiency of environmental remediation in the case townships, and the informatization intervention can also play a significant role in the improvement of water quality. CONCLUSION: In the continuous process of rural revitalization and precise poverty alleviation work, to strengthen the informatization intervention of rural residents' environment and comprehensively improve the quality level of rural habitat environment, it is crucial to carry out from various aspects and construct informatization.
{"title":"Informational Interventions in Environmental Behavior of Rural Residents: Example of Waste Separation and Water Quality Enhancement","authors":"Jianming Cai, Hong Ling, Chao Yang, Jianfeng Gu","doi":"10.4108/ew.4445","DOIUrl":"https://doi.org/10.4108/ew.4445","url":null,"abstract":"INTRODUCTION: The ongoing progress in China's rural revitalization and precision poverty alleviation has led to the gradual implementation of environmental improvement initiatives for rural residents. As a result, rural residents' environmental behavior is now being influenced by informatization interventions. With the deepening of these interventions, various environmental behaviors have emerged. Therefore, it is crucial to study the impact of informatization interventions on rural residents' ecological behavior, focusing specifically on garbage classification and water quality enhancement. OBJECTIVES: To improve the level of China's rural habitat improvement, to improve the mechanism of informatization intervention in the environmental behavior of rural residents; to solve the problem of garbage classification and water quality improvement in the environment of rural residents under the background of informatization intervention, and to improve the level of modernization of China's agriculture and rural areas. METHODS: First, using the theory of informatization intervention to establish a model of informatization intervention in the environmental behavior of rural residents; secondly, using the questionnaire method to investigate and analyze the ecological behavior of rural residents under the background of informatization intervention in the case townships; finally, using the model to analyze the results of the survey and establish the relevant principles of environmental improvement under the background of informatization intervention. RESULTS: Under the background of informatization intervention, there is a significant improvement in the environmental behavior of rural residents, and the efficiency of garbage classification is significantly improved compared with the traditional model; the application of informatization intervention has dramatically improved the efficiency of environmental remediation in the case townships, and the informatization intervention can also play a significant role in the improvement of water quality. CONCLUSION: In the continuous process of rural revitalization and precise poverty alleviation work, to strengthen the informatization intervention of rural residents' environment and comprehensively improve the quality level of rural habitat environment, it is crucial to carry out from various aspects and construct informatization.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"174 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139248705","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}
As road traffic develops, energy-saving and efficient street lights have become a key research field for relevant professionals. To reduce street lights energy consumption, a fireworks algorithm is used to optimize the membership function parameters of fuzzy control and the initial parameters of PI control. A fireworks algorithm improved adaptive fuzzy PI solar LED street light control system is designed. The results showed that in the calculation of Root-mean-square deviation and Mean absolute error, the Root-mean-square deviation of the adaptive fuzzy PI control system improved by the fireworks algorithm was 0.213, 0.258, 0.243, 0.220, and the Mean absolute error was 0.143, 0.152, 0.154, 0.139, respectively, which proved that the prediction accuracy was high and the stability was good. In the calculation of the 1-day power consumption of the solar LED intelligent control system, the average power consumption of the designed solar LED intelligent control system was about 2000W, which was 25.9%, 47.4%, and 42.9% lower than the other three control methods, respectively. This proves that its energy consumption is low, and its heat generation is low, and the battery service life is long. The research and design of an adaptive fuzzy PI control solar LED street light intelligent control system has good performance, which can effectively achieve intelligent management and energy conservation and emission reduction in smart cities.
随着道路交通的发展，节能高效的路灯已成为相关专业人员的重点研究领域。为降低路灯能耗，采用焰火算法优化模糊控制的成员函数参数和 PI 控制的初始参数。设计了一种焰火算法改进的自适应模糊 PI 太阳能 LED 路灯控制系统。结果表明，在均方根偏差和平均绝对误差的计算中，焰火算法改进的自适应模糊 PI 控制系统的均方根偏差分别为 0.213、0.258、0.243、0.220，平均绝对误差分别为 0.143、0.152、0.154、0.139，证明预测精度高，稳定性好。在计算太阳能 LED 智能控制系统的 1 天耗电量时，所设计的太阳能 LED 智能控制系统的平均耗电量约为 2000W，分别比其他三种控制方法低 25.9%、47.4% 和 42.9%。这证明其能耗低、发热量小、电池使用寿命长。研究设计的自适应模糊 PI 控制太阳能 LED 路灯智能控制系统性能良好，可有效实现智慧城市的智能管理和节能减排。
{"title":"Intelligent Control of Solar LED Street Lamp Based on Adaptive Fuzzy PI Control","authors":"Guipeng Weng","doi":"10.4108/ew.3815","DOIUrl":"https://doi.org/10.4108/ew.3815","url":null,"abstract":"As road traffic develops, energy-saving and efficient street lights have become a key research field for relevant professionals. To reduce street lights energy consumption, a fireworks algorithm is used to optimize the membership function parameters of fuzzy control and the initial parameters of PI control. A fireworks algorithm improved adaptive fuzzy PI solar LED street light control system is designed. The results showed that in the calculation of Root-mean-square deviation and Mean absolute error, the Root-mean-square deviation of the adaptive fuzzy PI control system improved by the fireworks algorithm was 0.213, 0.258, 0.243, 0.220, and the Mean absolute error was 0.143, 0.152, 0.154, 0.139, respectively, which proved that the prediction accuracy was high and the stability was good. In the calculation of the 1-day power consumption of the solar LED intelligent control system, the average power consumption of the designed solar LED intelligent control system was about 2000W, which was 25.9%, 47.4%, and 42.9% lower than the other three control methods, respectively. This proves that its energy consumption is low, and its heat generation is low, and the battery service life is long. The research and design of an adaptive fuzzy PI control solar LED street light intelligent control system has good performance, which can effectively achieve intelligent management and energy conservation and emission reduction in smart cities.","PeriodicalId":502230,"journal":{"name":"EAI Endorsed Transactions on Energy Web","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139268935","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}
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