文献
J-GLOBAL ID:202202243591826453
整理番号:22A0497258
グリッド接続半透明太陽光発電システムの人工ニューラルネットワークベース出力電力予測【JST・京大機械翻訳】
Artificial neural network-based output power prediction of grid-connected semitransparent photovoltaic system
著者 (4件):
Kumar Pitchai Marish
(Department of Electrical and Electronics Engineering, Easwari Engineering College, Chennai, Tamilnadu, India)
,
Saravanakumar Rengaraj
(Department of Wireless Communication, Institute of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India)
,
Karthick Alagar
(Renewable Energy Lab, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, Tamilnadu, India)
,
Mohanavel Vinayagam
(Centre for Materials Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India)
資料名:
Environmental Science and Pollution Research
(Environmental Science and Pollution Research)
巻:
29
号:
7
ページ:
10173-10182
発行年:
2022年
JST資料番号:
W4325A
ISSN:
0944-1344
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)