Application of BP Neural Network Optimized by FOA in the Forecasting of Summer Air-Conditioning Cooling Load
This paper proposes a new load forecasting model based on the combination of BP neural network and fruit fly optimization algorithm (FOA).FOA is used to optimize the weight and threshold of BP neural network.Based on the recent ten-year meteorological data and the cooling load value in a region,this new model is proved more suitable for air-conditioning cooling load forecasting compared with traditional BP neural network and it has better forecasting performance.
NETL
NSTL
万方数据
维普
