文献
J-GLOBAL ID:202202278094512946
整理番号:22A0804308
ランダムフォレストとゲート付きリカレントユニットを用いた短期電力負荷予測【JST・京大機械翻訳】
Short-term electric power load forecasting using random forest and gated recurrent unit
著者 (5件):
Veeramsetty Venkataramana
(Department of Electrical and Electronics Engineering, Center for Artificial Intelligence and Deep Learning, S R Engineering College, Warangal, Telangana State, India)
,
Reddy K. Rajeshwar
(Department of Electrical and Electronics Engineering, S R University, Warangal, Telangana State, India)
,
Santhosh M.
(Department of Electrical and Electronics Engineering, Kakatiya Institute of Technology and Science, Warangal, Telangana State, India)
,
Mohnot Arjun
(Department of Computer Science Engineering, Bennett University, Noida, India)
,
Singal Gaurav
(Department of Computer Science Engineering, Bennett University, Noida, India)
資料名:
Electrical Engineering
(Electrical Engineering)
巻:
104
号:
1
ページ:
307-329
発行年:
2022年
JST資料番号:
A0448A
ISSN:
0948-7921
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)