Abstract
Abstract The cold/heat/electrical load forecasting is of great significance for the planning and design of the terminal energy supply system. Based on the historical data of the cold/heat/electrical load of five typical buildings, the wavelet neural network is used for cold/heat/electrical short-term load forecasting. The simulation results show that the maximum absolute average error of the cold/heat/electrical load forecasting of the wavelet neural network is 1.8%, and the calculation speed is fast. It is a suitable cold/heat/electrical load forecasting method.
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