Computer Science ›› 2011, Vol. 38 ›› Issue (7): 265-267.
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DAI Xiao-hong,WANG Guang-li
Online:
Published:
Abstract: Analyzing the deficiency of the traditional BP algorithm, combining Levenbery-Marquardt optimized algorithm and a neural network forecasting method, this paper put forward a L-M optimized BP algorithm, which quickens the train, improves stability and avoids trapping into local minimum. For some area power supply load of Power Corporation in somewhere, a short term load forecast was simulated based on L-M optimized BP algorithm. Analyzing the simulation results, it shows the L-M optimized BP algorithm has better forecast precision and adaptive capacity.
Key words: Short term load forecasting,L-M optimized,BP algorithm,Forecast precision
DAI Xiao-hong,WANG Guang-li. Application of L-M Optimized BP Algorithm in Short-term Power Load Forecast[J].Computer Science, 2011, 38(7): 265-267.
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