Open AccessThe prediction of the impact of climatic factors on short-term electric power load based on the big data of smart city
Author(s) -
Qiu Yunfei,
Xizhong Li,
Wei Zheng,
Qinghe Hu,
Zhanmeng Wei,
Yaqin Yue
Publication year - 2017
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/887/1/012023
Subject(s) - term (time) , artificial neural network , electrical load , computer science , wind speed , electricity , electric power system , environmental science , meteorology , matlab , toolbox , power (physics) , reliability engineering , machine learning , engineering , geography , electrical engineering , physics , programming language , operating system , quantum mechanics