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
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777343
