Energy Demand Forecast of City Based on Cellular Genetic Algorithm

Abstract:

As a branch of genetic algorithm (GA), cellular genetic algorithm (CGA) has been used in search optimization of the population in recent years. Compared with traditional genetic algorithm and the algorithm combined with traditional genetic algorithm and BP neural network, energy demand forecast of city by the method of combining cellular genetic algorithm and BP neural network had the characteristic of the minimum training times, the shortest consumption time and the minimum error. Meanwhile, it was better than the other two algorithms from the point of fitting effect.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 2122-2125
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.2122
• Online since: December 2012
• Authors: Yu Gui Cheng
• Keywords: BP Neural Network (BPNN), Cellular Genetic Algorithm, City Energy, Forecast

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