Short-Term Forecasting Method for Power Load Under Improved Neural Networks
With the gradual increase of power supply pressure in our country,short-term forecasting of power load is extremely important.It can not only provide certain reference for power dispatching work,but also guide the formulation of electricity prices correctly.Based on this,taking the characteristics of neural networks as the starting point,this paper analyzes and improves the short-term power load forecasting method under neural networks,and conducts experimental comparative analysis on RNN,LSTM,and GRU,aiming to prove that improving neural networks can effectively improve the accuracy of short-term power load forecasting and provide certain reference for decision-making in the power sector.
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