[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118264-en":3,"doc-seo-118264-105":30,"detail-sidebar-cat-0-en-105":91},{"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":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118264,687197207639,"Asher","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Implementing machine learning to characterize solar cells and optimize their efficiency","Artificial intelligence is positioned as an essential enabler across industries, with renewable energy as a key application area. The work focuses on using machine learning to improve solar energy production, particularly through Maximum Power Point Tracking (MPPT). A regression tree model is implemented using a new dataset built from experimental measurements, supporting accurate prediction of MPPT-related values. The trained model is deployed in a dedicated platform to help achieve the maximum power point and optimize solar energy systems.","Implementing machine learning to characterize solar cells and optimize  \ntheir efficiency  \nImplementação de aprendizado de máquina para caracterizar células  \nsolares e otimizar sua eficiência  \nImplementación del aprendizaje automático para caracterizar células  \nsolares y optimizar su eficiencia  \nDOI:10.38152/bjtv7n4-005  \nSubmitted: Sep 30th,, 2024  \nApproved: Oct 21th, 2024  \nNacera Mazouz  \nPhD in Electronics  \nInstitution: University of Science and Technology of Oran Mohamed Boudiaf (USTOMB)  \nAddress: Oran, Algeria  \n[E-mail: nacera.mazouz@univ-usto.dz](E-mail: nacera.mazouz@univ-usto.dz)  \nAsmaa Addou  \nPhD Student in Electronics  \nInstitution: University of Science and Technology of Oran Mohamed Boudiaf (USTOMB)  \nAddress: Oran, Algeria  \nE-mail: [asmaa.addou@ univ-usto.dz](asmaa.addou@ univ-usto.dz)  \nNourelhouda Djilali Hamida  \nMaster in Informatics  \nInstitution: National Polytechnic School of Oran-Maurice Audin Address: Oran, Algeria  \n[E-mail: djilalihamidahouda@gmail.com](E-mail: djilalihamidahouda@gmail.com)  \nABSTRACT  \nArtificial intelligence (AI) has evolved into an indispensable component across various sectors, with a particular emphasis on employing machine learning techniques. This integration of AI technologies holds significant importance, especially in the realm of renewable energy, given its positive ecological impact and its role as a sustainable energy source to fulfill our energy needs. The field of solar energy is undergoing continual research and development, with a dedicated focus on applying various machine learning techniques to optimize energy production. One such area of investigation pertains to Maximum Power Point Tracking (MPPT). In this study, we have implemented a machine learning algorithm, specifically a regression tree, using a novel dataset derived from experimental measurements. Our approach yielded a commendable accuracy score of 96% . Our primary objective revolves around the meticulous construction of a database through precise experimental measurements, which serves as the foundational cornerstone of the machine learning process. This dataset is then utilized to develop and train a machine learning model that can predict values pertinent to our research. Finally, we deploy this model within a dedicated platform to facilitate the attainment of the Maximum Power Point, a crucial component in the optimization of solar energy systems.  \nKeywords: Maximum Power Point Traking MPPT, optimization, machine learning,  \nArtificial Intelligence, solar energy.  \nRESUMO  \nA inteligência artificial (IA) evoluiu para um componente indispensável em vários setores, com ênfase particular no emprego de técnicas de aprendizado de máquina. Essa integraçãode tecnologias de IA tem uma importância significativa, especialmente no domínio daenergia renovável, devido ao seu impacto ecológico positivo e seu papel como fonte deenergia sustentável para atender às nossas necessidades energéticas. O campo da energia solar está passando por pesquisa e desenvolvimento contínuos, com foco dedicado na aplicação de várias técnicas de aprendizado de máquina para otimizar a produção de energia. Uma dessas áreas de investigação diz respeito ao Rastreamento de Ponto de Potência Máxima (MPPT) . Neste estudo, implementamos um algoritmo de aprendizado de máquina, especificamente uma árvore de regressão, usando um novo conjunto de dados derivado de medições experimentais. Nossa abordagem rendeu uma pontuação de precisão louvável de 96%. Nosso objetivo principal gira em torno da construção meticulosa deum banco de dadospor meio de medições experimentais precisas, que serve como a base do processo de aprendizado de máquina. Esse conjunto de dados é então utilizado para desenvolver e treinarum modelo de aprendizado de máquina que pode prever valores pertinentes à nossa pesquisa. Por fim, implantamos este modelo em uma plataforma dedicada para facilitar aobtenção do Ponto de Potência Máxima, um componente crucial na otimiz","cbCaikFDf5K1Q6CW","https://ap.wps.com/l/cbCaikFDf5K1Q6CW","pdf",511222,1,14,"English","en",105,"# Abstract\n# 1 Introduction\n## Maximum Power Point Tracking (MPPT)\n## Regression-tree based modeling\n## Dataset from experimental measurements\n## Deployment platform for maximum power point","[{\"question\":\"What is the main goal of the study?\",\"answer\":\"To use a machine learning approach to characterize solar cells and optimize solar energy efficiency by enabling Maximum Power Point Tracking (MPPT).\"},{\"question\":\"Which machine learning model is implemented?\",\"answer\":\"A regression tree model is implemented and trained using a dataset derived from experimental measurements.\"},{\"question\":\"How is the dataset used in the workflow?\",\"answer\":\"Precise experimental measurements are used to construct a database, which then trains a model capable of predicting MPPT-related values for optimization.\"}]","Implementing machine learning to characterize solar cells and optimize their efficiency | 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