A Prediction Method of Power Energy Saving Potential Based on Rough Set Neural Network
Jin Ying Li, Ya Jun Wei, Jin Chao Li, Yu Zhao · Applied Mechanics and Materials · 2010
Power industry is the key field of implementing energy saving and pollutant emission reduction in china, strengthen power energy saving is helpful to establish a resource-saving and environment-friendly society and promote a sustainable development of economic society. This paper synchronizes respective advantages of rough set and neural network, puts forward a prediction model-RSBPNN which uses rough set knowledge reduction method to prune the redundant and neural network to build a forecasting model.