文献
J-GLOBAL ID:201702271298717703
整理番号:17A0403298
ニューラルネットワークの遺伝的プログラミングに基づくアンサンブルを用いた短期風力発電の知的とロバスト予測【Powered by NICT】
Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
著者 (5件):
Zameer Aneela
(PR Lab Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan)
,
Arshad Junaid
(PR Lab Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan)
,
Arshad Junaid
(Department of Electrical Engineering, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan)
,
Khan Asifullah
(PR Lab Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan)
,
Raja Muhammad Asif Zahoor
(Department of Electrical Engineering, COMSATs Institute of Information Technology, Attock Campus, Attock, Pakistan)
資料名:
Energy Conversion and Management
(Energy Conversion and Management)
巻:
134
ページ:
361-372
発行年:
2017年
JST資料番号:
A0552A
ISSN:
0196-8904
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)