DocumentCode
3274933
Title
Application of BP network to short-term power load forecasting considering weather factor
Author
Mao Yi ; Yang Fan ; Wang Caiping
Author_Institution
Coll. of Electr. & Inf. Eng., Hunan Univ. Changsha, Changsha, China
fYear
2011
fDate
15-17 April 2011
Firstpage
172
Lastpage
175
Abstract
Weather is an important factor affecting short term electric load. This paper researches the comprehensive real-time weather factors and analyzes cumulative effect of weather factor; improved learning rate and activated function is adopted to speed up the learning rate for BP network; Short term electric load predictive model is established based on weather factor; experimental simulation were carried out on this foundation.
Keywords
backpropagation; load forecasting; weather forecasting; BP network; power load forecasting; predictive model; short term electric load; weather factor; Artificial neural networks; Load forecasting; Meteorology; Predictive models; Temperature; Temperature sensors; Weather factor; back propagation neural network; momentum factor-self adaptive learning algorithms; short term electric load forecasting model;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777343
Filename
5777343
Link To Document