NDLI: Medium-Long Power Load Forecasting Based on Improved Grey BP Model

Content Provider	IEEE Xplore Digital Library
Author	Xiaoxia Li Peijun Zhang
Copyright Year	2009
Abstract	The power load forecasting precision being influenced by many factors, the traditional forecasting tools are not very taking the role. In fact, BP network has the characteristics of the applicable and self-learning, and grey method has the growth characteristics,this paper used the correcting coefficient to improved the grey method, so the grey BP network method can better reflect the increasing and non-linearity character than traditional grey BP method. The minimal variance method was used as the making of combination weight, through the advantages of the two methods, we can meet the high precision for the forecasting, and the whole forecasting results have greatly improved to conventional methods, above all, this method can be better using in medium and long term power load forecasting.
Starting Page	366
Ending Page	368
File Size	459437
Page Count	3
File Format	PDF
ISBN	9781424435814
DOI	10.1109/ETCS.2009.343
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	medium-long Power engineering education Power supplies BP network Educational technology Power generation economics Predictive models combined weight power load Load forecasting Neural networks grey model Economic forecasting Computer science education Power engineering and energy
Content Type	Text
Resource Type	Article

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