Short-term load prediction method and device for power utilization region
A technology for short-term load forecasting and load forecasting, which is applied to load forecasting, circuit devices, forecasting and other directions in AC networks, and can solve problems such as low forecasting accuracy.
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[0045]At present, electricity user load forecasting is usually carried out through neural network prediction. The specific method is usually to first analyze the various influencing factors that affect the user's electricity load, and then construct training samples based on these influencing factors, and then use These training samples train a forecasting model so that the trained forecasting model can be used for short-term load forecasting of electricity users. However, in actual use, this forecasting method has technical problems of low forecasting accuracy. The specific reason is that almost every region There are many types of electricity users, and the load influencing factors of each electricity user are different. The existing forecasting methods do not carry out targeted load forecasting for the types of electricity users, which leads to the existence of forecasting in the existing forecasting methods. The main reason for the low accuracy.
[0046] The embodiment of ...
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