The Research of BP-PSO Optimization Method in Electric Power Market Analysis and Forecast

Abstract:

The classification and prediction of load is very important, in the power market .In order to improve the accuracy and speed of forecast, it is proposed that the mixed algorithm of particle swarm and back propagation network and model. And model is established on the basis of one city electric power bureaus electric power load data. Using the PSO - BP algorithm to the load for forecasting .According to the results of prediction, this method converges fast, prediction accuracy improved significantly. Application in the power market analysis and forecasting have very good effect and prospect.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 2522-2525
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.2522
• Online since: December 2013
• Authors: Li Xin Ma*, Hua Kun Peng, Yuan Li, Shu Juan Yuan
• Keywords: Analysis and Forecast, BP Network, Next Day Electricity Market, Particle Swarm Algorithm

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