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Cheng Yugui
Nanchang Hangkong University

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Electric Energy Demand Forecast of Nanchang based on Cellular Genetic Algorithm and BP Neural Network Cheng Yugui
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A kind of power forecast model combined cellular genetic algorithm with BP neural network was established in this article. Mid-long term power demand in urban areas was done load forecasting and analysis based on material object of the actual power consumption in urban areas of Nanchang. The results show that this method has the characteristic of the minimum training times, the shortest consumption time, the minimum error and the shortest operation time to obtain the best fitting effect. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2831
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