Open AccessPrediction of Photovoltaic Power by ANN Based on Various Environmental Factors in India
Author(s) -
B. Suresh Kumar,
Jenifer Mahilraj,
R. K. Chaurasia,
Chitaranjan Dalai,
Asiful H. Seikh,
Sohail M.A.K. Mohammed,
Ram Subbiah,
Abdi Diriba
Publication year - 2022
Publication title -
international journal of photoenergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.426
H-Index - 51
eISSN - 1687-529X
pISSN - 1110-662X
DOI - 10.1155/2022/4905980
Subject(s) - photovoltaic system , renewable energy , environmental science , feature selection , computer science , wind power , wind speed , linear regression , meteorology , power (physics) , statistics , econometrics , artificial intelligence , machine learning , mathematics , engineering , geography , quantum mechanics , electrical engineering , physics
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