On the basis of the analysis of influencing factors on small hydropower generation load, considering the characteristics of small hydropower load, this paper presents a short-term load forecasting system for small hydropower in the context of electricity market. It is composed of the following components: information collection and processing, load forecasting, information monitoring. The system uses a method to segment and cluster the load curves, then wavelet decomposition is applied to load data, and a complex forecasting model is taken. Meanwhile, fulfill feedback control through the part of information monitoring, and extended short-term load forecasting is introduced. The system can improve the overall level of short-term load forecasting for small hydropower.
Short-Term Load-Forecasting Method Based on Wavelet Decomposition With Second-Order Gray Neural Network Model Combined With ADF Test
