Optimization of Solar Panel Deployment Using Machine Learning

Autor:	Shoaib Kamal, P. S. Ramapraba, Avinash Kumar, Bikash Chandra Saha, M. Lakshminarayana, S. Sanal Kumar, Anitha Gopalan, Kuma Gowwomsa Erko
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Renewable energy sources TJ807-830
Zdroj:	International Journal of Photoenergy, Vol 2022 (2022)
Druh dokumentu:	article
ISSN:	1687-529X
DOI:	10.1155/2022/7249109
Popis:	In this work, we proposed a mechanism for topology reconfiguration or optimization of photovoltaic (PV) arrays using machine learning-assisted techniques. The study takes into concern several topologies that includes series parallel topology, parallel topology, bridge link topology, honeycomb topology, and total cross tied. The artificial neural network-based topology reconfiguration strategy allows for optimal working conditions for PV arrays. With this, machine learning-assisted topology reconfiguration or optimal solar panel deployment enables the proposed mechanism to achieve higher degree of testing accuracy precision, recall, and f-measure under standard ideal condition.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e882e7183910461c89fb71467e1028f3 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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