[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126024-en":3,"doc-seo-126024-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},126024,2336474466412,"Ezra","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Performance analysis of photovoltaic panel using machine learning method","Rising energy demand, rapid fossil-fuel depletion, and changing climate conditions increase reliance on renewable sources, with solar energy as a cost-effective option. Photovoltaic panel performance is influenced by wind speed, ambient temperature, incident radiation, and dust deposition. Uncontrolled solar heat elevates panel temperature, reducing energy output and conversion efficiency, making cooling essential. This study uses a fully automated system with sensors and a DC pump, compares PV operation with and without cooling, collects real-time data, and applies linear regression with machine learning to evaluate performance.","Performance analysis of photovoltaic panel using machine  \nlearning method  \nGanesh S. Wahile1,2, Srikant Londhe1, Shivshankar Trikal2, Chandrakant Kothare3, Prateek D. Malwe4,5, Nitin P. Sherje4, Prasad D. Kulkarni6, Uday Aswalekar7,  \nChandrakant Sonawane8, Mustak Maher Abdul Zahra9, Abhinav Kumar10  \n1Department of Mechanical Engineering, Government College of Engineering, Amravati, India 2Department of Mechanical Engineering, Shri Sant Gajanan Maharaj College of Engineering, Shegaon, India 3Department of Mechanical Engineering, Shri Shankar Prasad Agnihotri College of Engineering, Wardha, India 4Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, India 5Department of Mechanical Engineering, Walchand College of Engineering, Sangli, India 6Department of Mechanical Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, India 7Department of Mechanical Engineering, Vidyavardhini College of Engineering and Technology, Vasai, India 8Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International University, Pune, India 9Department of Computer Techniques Engineering, Al-Mustaqbal University College, Hillah, Iraq 10Department of Nuclear and Renewable Energy, Ural Federal University, Yekaterinburg, Russia  \n\n| Article history:\u003Cbr>Received Dec 2, 2023 Revised Jan 1, 2024 Accepted Jan 3, 2024 | Demand for energy is increasing as the world ’s population grows, fossil fuels deplete on a daily basis, and climate conditions change. Renewable energy is more important than ever. Solar energy is the most accessible and cost-effective renewable energy source available today. Photovoltaic (PV) cells are the most promising way to convert solar energy into electricity. Wind speed, ambient temperature, incident radiation rate, and dust deposition are some of the internal and external variables that affect photovoltaic panel performance. Unwanted heat from the sun ’s rays raises panel temperatures, reduces the amount of energy that solar cells can produce, and lowers conversion efficiency. Solar panels must be adequately cooled. The current research is focused on improving photovoltaic panel performance. The experimental system includes a fully automated photovoltaic panel, a microcontroller (NodeMCU8266), a DC pump, voltage and temperature sensors. The experiment was carried out with and without cooling of the PV panel. The findings suggest that keeping PV panel temperatures close to ambient temperatures improves performance. The Wi-Fi module collects real-time data on PV panel temperature, irradiation, ambient temperature, water temperature, and PV panel power output. The collected data was analyzed using machine learning. The PV panel ’s performance was analyzed using the linear regression method.\u003Cbr>This is an open access article under the CC BY-SA license.\u003Cbr> |\n| --- | --- |\n| Keywords:\u003Cbr>Microcontroller Photovoltaic panel Power output Solar meter Temperature sensor Voltage sensor |  |\n\nCorresponding Author:  \nPrateek D. Malwe  \nDepartment of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology Pimpri, Pune, Maharashtra, India  \n[Email: prateek0519@gmail.com](Email: prateek0519@gmail.com)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nThe need for energy supply for industrial, commercial, and residential applications is increasing due to economic growth, facility expansion, and infrastructure develop-ment. As a result, solar energy could continuously meet all of the world ’s energy needs, both present and future. Because of this, it is considered one of the most promising sources of unconventional energy [1]. Solar cells, also known as solar photovoltaic (PV)  \nsystems, are apparatuses that transform photons in sun rays into electrical energy. PV solar technology is a related field. The conventional silicon solar cell is made up of a thin wafer with a thicker layer of silicon doped with boron (p-type) on top of silicon doped with phosphorus (n-ty","cbCainnI3RWWW1Cu","https://ap.wps.com/l/cbCainnI3RWWW1Cu","pdf",770891,9,1,12,"English","en",105,"# Abstract\n## Introduction\n## Experimental System and Cooling Setup\n## Data Collection and Machine Learning Analysis\n## Linear Regression Performance Evaluation","[{\"question\":\"Which factors affect photovoltaic panel performance in the study?\",\"answer\":\"Wind speed, ambient temperature, incident radiation rate, and dust deposition affect PV panel performance. Solar heat increases panel temperature and reduces energy production efficiency.\"},{\"question\":\"What experimental components are used to monitor PV panel behavior?\",\"answer\":\"The system includes a fully automated PV panel, a microcontroller (NodeMCU8266), a DC pump, and voltage and temperature sensors, along with Wi‑Fi for real-time data collection.\"},{\"question\":\"How is machine learning used to analyze PV performance?\",\"answer\":\"Collected data on PV temperature, irradiation, ambient temperature, water temperature, and power output is analyzed using machine learning, with performance evaluated using linear regression.\"}]","Performance analysis of photovoltaic panel using machine learning method | PDF",1785902599,30,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"performance-analysis-of-photovoltaic-panel-using-machine-learning-method","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/performance-analysis-of-photovoltaic-panel-using-machine-learning-method/126024/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-25","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"Which factors affect photovoltaic panel performance in the study?","Question",{"text":77,"@type":78},"Wind speed, ambient temperature, incident radiation rate, and dust deposition affect PV panel performance. Solar heat increases panel temperature and reduces energy production efficiency.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"What experimental components are used to monitor PV panel behavior?",{"text":82,"@type":78},"The system includes a fully automated PV panel, a microcontroller (NodeMCU8266), a DC pump, and voltage and temperature sensors, along with Wi‑Fi for real-time data collection.",{"name":84,"@type":75,"acceptedAnswer":85},"How is machine learning used to analyze PV performance?",{"text":86,"@type":78},"Collected data on PV temperature, irradiation, ambient temperature, water temperature, and power output is analyzed using machine learning, with performance evaluated using linear regression.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,112,117,122,124,128,131,135],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":110,"slug":111},5,"Comic",60,"comic",{"id":113,"doc_module":4,"doc_module_name":47,"category_name":114,"show_sort_weight":115,"slug":116},6,"Technology",50,"technology",{"id":118,"doc_module":4,"doc_module_name":47,"category_name":119,"show_sort_weight":120,"slug":121},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":30,"slug":123},"research-report",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":125,"show_sort_weight":126,"slug":127},"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":47,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":47,"category_name":137,"show_sort_weight":108,"slug":138},19,"General","general"]