Short-term load forecasting method based on fuzzy optimization combined model of load feature recognition
Min Xie,
Shengzhen Lin,
Yuxing Xie
Abstract:With the continuous development of smart grid construction and the gradual improvement of power market operation mechanisms, the importance of power load forecasting is continually increasing. In this study, a short-term load prediction method based on the fuzzy optimization combined model of load feature recognition was designed to address the problems of weak generalization ability and poor prediction accuracy of the conventional feedforward neural network prediction model. First, the Douglas–Peucker algorit… Show more
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