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To Forecast Short-Term Load in Electric Power System Based on FNN

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3 Author(s)
Yueli Hu ; Key Lab. of Adv. Display & Syst. Applic., Shanghai Univ., Shanghai, China ; Huijie Ji ; Xiaolong Song

Electric power system load forecasting plays an important part in the Energy Management System (EMS), which has a great effect on the operating, controlling and planning of power system. Accurate load forecasting, especially short-term load forecasting, results in cost saving and guarantees secure operation condition in power system. Therefore, it is of great concern to develop an appropriate model to improve accuracy of load forecasting. In this paper, we employed the algorithm named fuzzy-neural network (FNN) and developed a prediction model for short-term forecasting. Experimental results demonstrate the effectiveness of the FNN model, and could be applied to short-term forecasting for better prediction.

Published in:

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on  (Volume:6 )

Date of Conference:

14-16 Aug. 2009