Pub Date : 2022-07-21DOI: 10.1109/iciccsp53532.2022.9862336
{"title":"ICICCSP 2022 Reviewers","authors":"","doi":"10.1109/iciccsp53532.2022.9862336","DOIUrl":"https://doi.org/10.1109/iciccsp53532.2022.9862336","url":null,"abstract":"","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131626729","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862383
Achhi Pradyumna, Sai Madhav Kuthadi, A. A. Kumar, N. Karuppiah
The electrical grid connects all the generating stations to supply uninterruptible power to the consumers. With the advent of technology, smart sensors and communication are integrated with the existing grid to behave like a smart system. This smart grid is a two-way communication that connects the consumers and producers. It is a connected smart network that integrates electricity generation, transmission, substation, distribution, etc. In this smart grid, clean, reliable power with a high-efficiency rate of transmission is available. In this paper, a highly efficient smart management system of a smart grid with overall protection is proposed. This management system checks and monitors the parameters periodically. This future technology also develops a smart transformer with ac and dc compatibility, for self-protection and for the healing process.
{"title":"IoT Based Smart Grid Communication with Transmission Line Fault Identification","authors":"Achhi Pradyumna, Sai Madhav Kuthadi, A. A. Kumar, N. Karuppiah","doi":"10.1109/ICICCSP53532.2022.9862383","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862383","url":null,"abstract":"The electrical grid connects all the generating stations to supply uninterruptible power to the consumers. With the advent of technology, smart sensors and communication are integrated with the existing grid to behave like a smart system. This smart grid is a two-way communication that connects the consumers and producers. It is a connected smart network that integrates electricity generation, transmission, substation, distribution, etc. In this smart grid, clean, reliable power with a high-efficiency rate of transmission is available. In this paper, a highly efficient smart management system of a smart grid with overall protection is proposed. This management system checks and monitors the parameters periodically. This future technology also develops a smart transformer with ac and dc compatibility, for self-protection and for the healing process.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132228039","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862343
Jeevanarao Batakala, R. Dhar
The device performance of nanowire junctionless MOSFET (NW-JL-MOSFET) with InGaAs as core material in the sub-10 nm regime is examined by a device simulator, namely ATLAS. The focus is on gate-all-around nanowires with InGaAs core. These devices are further examined by adding gate-stack (high-k dielectric + oxide) method. It is observed that optimal selection of structure parameters of InGaAs NW-JL-MOSFET attains higher drain current and optimal performance. This proposed architecture also provides better switching speed of the structure. The gate dielectric material optimization of the structure is attained via broad device simulation. In this manuscript, a literature is carried for the short channel effects like subthreshold swing, Ion/Ioff ratio, Threshold voltage and drain induced barrier lowering (DIBL). The InGaAs device has a better threshold voltage and Ion/Ioff ratio, according to simulation data.
{"title":"Development and Analysis of In GaAs Nanowire Junctionless MOSFET with 10 nm gate length","authors":"Jeevanarao Batakala, R. Dhar","doi":"10.1109/ICICCSP53532.2022.9862343","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862343","url":null,"abstract":"The device performance of nanowire junctionless MOSFET (NW-JL-MOSFET) with InGaAs as core material in the sub-10 nm regime is examined by a device simulator, namely ATLAS. The focus is on gate-all-around nanowires with InGaAs core. These devices are further examined by adding gate-stack (high-k dielectric + oxide) method. It is observed that optimal selection of structure parameters of InGaAs NW-JL-MOSFET attains higher drain current and optimal performance. This proposed architecture also provides better switching speed of the structure. The gate dielectric material optimization of the structure is attained via broad device simulation. In this manuscript, a literature is carried for the short channel effects like subthreshold swing, Ion/Ioff ratio, Threshold voltage and drain induced barrier lowering (DIBL). The InGaAs device has a better threshold voltage and Ion/Ioff ratio, according to simulation data.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132233229","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862457
Smarak Pani, Sarita Samal, B. Nayak, Babita Panda, A. Mohapatra, P. K. Barik
The main objective of this study is to mitigate the current harmonic issues with the help of a suitable controller-based shunt active power filter (SAPF) in hybrid renewable energy system i.e., solar photovoltaic (SPV) and wind energy system-based distribution generation system. The SAPF is designed by using a synchronous reference frame (SRF) technique for reference current generation, a hysteresis current controller (HCC) technique for switching pulse generation and fuzzy logic controller (FLC) for DC-link voltage regulation. The suggested model of SAPF is developed in MATLAB/Simulink, and the results show that the filter performs remarkably well in supressing harmonics under different loading conditions. It is capable of providing fast corrective action under dynamic conditions and outperforms previous methods in terms of harmonic mitigation and dc-link voltage stabilization. The control techniques are compared on the basis of parameters such as harmonic compensation and dc link voltage ripple reduction capability under dynamically changing nonlinear load. The results obtained through simulation represents the validity of the performance of the filter.
{"title":"Fuzzy-HCC based shunt active power filter integrated hybrid energy system for compensation of harmonics","authors":"Smarak Pani, Sarita Samal, B. Nayak, Babita Panda, A. Mohapatra, P. K. Barik","doi":"10.1109/ICICCSP53532.2022.9862457","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862457","url":null,"abstract":"The main objective of this study is to mitigate the current harmonic issues with the help of a suitable controller-based shunt active power filter (SAPF) in hybrid renewable energy system i.e., solar photovoltaic (SPV) and wind energy system-based distribution generation system. The SAPF is designed by using a synchronous reference frame (SRF) technique for reference current generation, a hysteresis current controller (HCC) technique for switching pulse generation and fuzzy logic controller (FLC) for DC-link voltage regulation. The suggested model of SAPF is developed in MATLAB/Simulink, and the results show that the filter performs remarkably well in supressing harmonics under different loading conditions. It is capable of providing fast corrective action under dynamic conditions and outperforms previous methods in terms of harmonic mitigation and dc-link voltage stabilization. The control techniques are compared on the basis of parameters such as harmonic compensation and dc link voltage ripple reduction capability under dynamically changing nonlinear load. The results obtained through simulation represents the validity of the performance of the filter.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134083508","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862429
Sumit Swain, Rohit Meher, M. Tripathy, S. Behera
The work presented, describes the design of a RC-Phase shift oscillator in fractional domain is illustrated using Foster-1 approximated fractional-capacitor. Here the simulated analysis is carried out using three fractional-capacitors $FC_{1}, FC_{2}$, and $FC_{3}$ bearing different non-dependent fractional-orders $alpha, beta$, and $gamma$. respectively in the Fractional-order RC-phase shift oscillator. The phase shifting section of the proposed fractional-order oscillator has been investigated by simulating time and frequency-domain responses in MATLAB. In frequency-domain, it is envisaged that maximum phase-shift depends on varying the fractional-orders, which enhances the degree of design freedom. Later, in this paper simulation studies for stability analysis have been performed to explore the dependence of different parameters (rise-time, peak-overshoot, settling-time) of the proposed oscillators on the fractional-exponents.
{"title":"Performance and Stability Improvement of Fractional Order RC-Phase Shift Oscillator","authors":"Sumit Swain, Rohit Meher, M. Tripathy, S. Behera","doi":"10.1109/ICICCSP53532.2022.9862429","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862429","url":null,"abstract":"The work presented, describes the design of a RC-Phase shift oscillator in fractional domain is illustrated using Foster-1 approximated fractional-capacitor. Here the simulated analysis is carried out using three fractional-capacitors $FC_{1}, FC_{2}$, and $FC_{3}$ bearing different non-dependent fractional-orders $alpha, beta$, and $gamma$. respectively in the Fractional-order RC-phase shift oscillator. The phase shifting section of the proposed fractional-order oscillator has been investigated by simulating time and frequency-domain responses in MATLAB. In frequency-domain, it is envisaged that maximum phase-shift depends on varying the fractional-orders, which enhances the degree of design freedom. Later, in this paper simulation studies for stability analysis have been performed to explore the dependence of different parameters (rise-time, peak-overshoot, settling-time) of the proposed oscillators on the fractional-exponents.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133808281","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862384
R. R. Karasani, Abhiram Tikkani
A single phase cascaded modular multilevel inverter is derived from further modified H-bridge module (FMHB). The principle of self-balancing is explained for proposed 5-level basic module. The attractive feature of this topology is its capability to function under both symmetrical and asymmetrical modes with less power switches. The propounded multilevel inverter can synthesize levels according to the magnitude of DC voltage sources employed in each module. The inter and intra module configurations are analyzed. The comparative analysis is done with classical cascaded H-bridge (CHB) and recently reported multilevel inverters. The pulse sequence is generated by Nearest Level Control (NLC) technique. The simulations are performed in MATLAB/SIMULINK under dynamic transition of cascade connections. Experimental results are presented by cascading two FMHB modules to affirm simulation results.
{"title":"A Generalized Single Phase Cascaded Modular Multilevel Inverter based on Inter and Intra Module Configurations","authors":"R. R. Karasani, Abhiram Tikkani","doi":"10.1109/ICICCSP53532.2022.9862384","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862384","url":null,"abstract":"A single phase cascaded modular multilevel inverter is derived from further modified H-bridge module (FMHB). The principle of self-balancing is explained for proposed 5-level basic module. The attractive feature of this topology is its capability to function under both symmetrical and asymmetrical modes with less power switches. The propounded multilevel inverter can synthesize levels according to the magnitude of DC voltage sources employed in each module. The inter and intra module configurations are analyzed. The comparative analysis is done with classical cascaded H-bridge (CHB) and recently reported multilevel inverters. The pulse sequence is generated by Nearest Level Control (NLC) technique. The simulations are performed in MATLAB/SIMULINK under dynamic transition of cascade connections. Experimental results are presented by cascading two FMHB modules to affirm simulation results.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133965515","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862445
Sarita Samal, Roshan Kumar Soni, Sarthak Nayak, P. K. Barik, Rudranarayan Dash, Geetanjali Dei
This Paper presents the concept of a Maximum Power Point Tracking (MPPT) based Solar Charge Controllers (SCC) for charging a battery in stand-alone Solar Photo-voltaic (SPV) systems. A SCC is a battery charge regulator which is connected in between the SPV panel and the battery, the primary purpose of the SCC is to regulate the charging of the battery so that it charges correctly. PWM based SCCs may get the job done but they have very low efficiency as compared to MPPT based ones and thus waste a lot of SPV power. This fact has been analyzed in our article by executing the simulations for both the charge controller types and the efficiency of PWM was found to be only 65% whereas that of the MPPT based is 94%. Another useful feature in modern day SCCs and in our prototype is the facility to monitor the device parameters remotely on a wireless network which provides major flexibility to controllers. In this prototype model we have implemented MPPT based SCC along with one Wi-Fi module for monitoring the battery voltage, current, PWM pulses and battery status on smartphones. The user also gets notified about the battery status, whether the battery is charging or it is over charging. If the SPV voltage is more than 12V the relay disconnects the battery from the SPV cell and a notification regarding this is given to the user.
{"title":"A Smart Solar Charge Controller Based on IOT Technology with Hardware Implementation","authors":"Sarita Samal, Roshan Kumar Soni, Sarthak Nayak, P. K. Barik, Rudranarayan Dash, Geetanjali Dei","doi":"10.1109/ICICCSP53532.2022.9862445","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862445","url":null,"abstract":"This Paper presents the concept of a Maximum Power Point Tracking (MPPT) based Solar Charge Controllers (SCC) for charging a battery in stand-alone Solar Photo-voltaic (SPV) systems. A SCC is a battery charge regulator which is connected in between the SPV panel and the battery, the primary purpose of the SCC is to regulate the charging of the battery so that it charges correctly. PWM based SCCs may get the job done but they have very low efficiency as compared to MPPT based ones and thus waste a lot of SPV power. This fact has been analyzed in our article by executing the simulations for both the charge controller types and the efficiency of PWM was found to be only 65% whereas that of the MPPT based is 94%. Another useful feature in modern day SCCs and in our prototype is the facility to monitor the device parameters remotely on a wireless network which provides major flexibility to controllers. In this prototype model we have implemented MPPT based SCC along with one Wi-Fi module for monitoring the battery voltage, current, PWM pulses and battery status on smartphones. The user also gets notified about the battery status, whether the battery is charging or it is over charging. If the SPV voltage is more than 12V the relay disconnects the battery from the SPV cell and a notification regarding this is given to the user.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043054","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862400
Sneha Gope, Imon Dutta, Kairab Roy, Indrayudh Chakrabarti, D. Bose, C. K. Chanda
This paper introduces a method to optimize the number of crewmen deployed at various faulty nodes within a city to boost power system resiliency to pre-calamitous values during the post-restorative period. The approach follows a case study wherein data has been created and analyzed and then predictions have been performed using a multivariate linear regression machine learning model and Artificial Neural Network (ANN). The results of both have then been tabulated and compared. The model proposed in this paper will be highly beneficial for power distribution companies because in case of future disasters power distribution companies just need to give the input parameters for the specific area and they will get the optimal number of crewmen required for the restoration of that area.
{"title":"Crewman Deployment Model for Improving the Resiliency of the Power System","authors":"Sneha Gope, Imon Dutta, Kairab Roy, Indrayudh Chakrabarti, D. Bose, C. K. Chanda","doi":"10.1109/ICICCSP53532.2022.9862400","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862400","url":null,"abstract":"This paper introduces a method to optimize the number of crewmen deployed at various faulty nodes within a city to boost power system resiliency to pre-calamitous values during the post-restorative period. The approach follows a case study wherein data has been created and analyzed and then predictions have been performed using a multivariate linear regression machine learning model and Artificial Neural Network (ANN). The results of both have then been tabulated and compared. The model proposed in this paper will be highly beneficial for power distribution companies because in case of future disasters power distribution companies just need to give the input parameters for the specific area and they will get the optimal number of crewmen required for the restoration of that area.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127649636","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862441
Swapna Subudhiray, H. Palo, Niva Das
In this article, the authors attempt to characterize the facial emotions utilizing a few statistically measurable elements. The objective is to demarcate the emotions based on their arousal level. Several low and high arousal emotions such as anger, surprise, sadness, happiness, fear, and disgust are investigated to segment them based on the level of arousal. Initially, the facial images are loaded and the sector of interest is extracted to assess the factual component of the face. The versatile Gabor filter is applied to each of the facial images to extract the discriminate feature vectors. Finally, several statistical parameters are computed from the Gabor feature vectors of each facial emotional expression to characterization and identification based on the level of arousal. To exhibit the stated acknowledgment strategy, JAFFE facial information base and the MATLAB 18 (b) platform are incorporated. Simulation results reveal, it is possible to demarcate the high arousal emotional states from the low arousal states graphically for the sake of identification.
{"title":"Facial Behaviour Realization using Statistical Features","authors":"Swapna Subudhiray, H. Palo, Niva Das","doi":"10.1109/ICICCSP53532.2022.9862441","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862441","url":null,"abstract":"In this article, the authors attempt to characterize the facial emotions utilizing a few statistically measurable elements. The objective is to demarcate the emotions based on their arousal level. Several low and high arousal emotions such as anger, surprise, sadness, happiness, fear, and disgust are investigated to segment them based on the level of arousal. Initially, the facial images are loaded and the sector of interest is extracted to assess the factual component of the face. The versatile Gabor filter is applied to each of the facial images to extract the discriminate feature vectors. Finally, several statistical parameters are computed from the Gabor feature vectors of each facial emotional expression to characterization and identification based on the level of arousal. To exhibit the stated acknowledgment strategy, JAFFE facial information base and the MATLAB 18 (b) platform are incorporated. Simulation results reveal, it is possible to demarcate the high arousal emotional states from the low arousal states graphically for the sake of identification.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127977861","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}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862510
S. Prasanna, Kumaresh Pal, Debesh Mandal
Solar radiation is one of the vital resources found on Earth which can be renewed and hence tested and tried to be beneficiary for humankind. Solar energy is harnessed to fulfill the basic requirements of humans i.e.; supply power to operate any kind of machine or device. The way to utilize the energy for our maximum benefit is by approximating the radiation values of Sun and this can be achieved by installing measuring equipments. The main issue arises here as the equipment's maintenance and installation cost is too high to be affordable by the general people. To overcome this inconvenience, an affordable solution was developing models and methods to calculate the radiation and find the approximate values. We focus on city, Hubli, India and estimate the monthly mean radiation received on this particular city by creating a neural network in ANN (Artificial Neural network) using MATLAB. The models are validated for 3 training functions: resilient back-propagation (RP), Scaled Conjugate Gradient (SCG) and Levenberg-Marquardt (LM). The predicted values accuracy is also tested through statistical indicators like MSE, RMSE, MBE and MAPE.
{"title":"Predicting The Monthly Average Incident Shortwave Solar Energy for Hubli, India by Using Training Functions in ANN","authors":"S. Prasanna, Kumaresh Pal, Debesh Mandal","doi":"10.1109/ICICCSP53532.2022.9862510","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862510","url":null,"abstract":"Solar radiation is one of the vital resources found on Earth which can be renewed and hence tested and tried to be beneficiary for humankind. Solar energy is harnessed to fulfill the basic requirements of humans i.e.; supply power to operate any kind of machine or device. The way to utilize the energy for our maximum benefit is by approximating the radiation values of Sun and this can be achieved by installing measuring equipments. The main issue arises here as the equipment's maintenance and installation cost is too high to be affordable by the general people. To overcome this inconvenience, an affordable solution was developing models and methods to calculate the radiation and find the approximate values. We focus on city, Hubli, India and estimate the monthly mean radiation received on this particular city by creating a neural network in ANN (Artificial Neural network) using MATLAB. The models are validated for 3 training functions: resilient back-propagation (RP), Scaled Conjugate Gradient (SCG) and Levenberg-Marquardt (LM). The predicted values accuracy is also tested through statistical indicators like MSE, RMSE, MBE and MAPE.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121380588","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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