文献
J-GLOBAL ID:201702213648013550
整理番号:17A0451907
在来方式と人工知能法を用いた建築物電気エネルギー消費予測解析:レビュー【Powered by NICT】
Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review
著者 (12件):
Mat Daut Mohammad Azhar
(Centre of Electrical Energy Systems (CEES), Institute of Future Energy, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Mat Daut Mohammad Azhar
(Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Hassan Mohammad Yusri
(Centre of Electrical Energy Systems (CEES), Institute of Future Energy, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Hassan Mohammad Yusri
(Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Abdullah Hayati
(Centre of Electrical Energy Systems (CEES), Institute of Future Energy, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Abdullah Hayati
(Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Rahman Hasimah Abdul
(Centre of Electrical Energy Systems (CEES), Institute of Future Energy, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Rahman Hasimah Abdul
(Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Abdullah Md Pauzi
(Centre of Electrical Energy Systems (CEES), Institute of Future Energy, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Abdullah Md Pauzi
(Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Hussin Faridah
(Centre of Electrical Energy Systems (CEES), Institute of Future Energy, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
,
Hussin Faridah
(Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia)
資料名:
Renewable & Sustainable Energy Reviews
(Renewable & Sustainable Energy Reviews)
巻:
70
ページ:
1108-1118
発行年:
2017年
JST資料番号:
W1084A
ISSN:
1364-0321
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)