Abstract:Power load forecasting is important to ensure the stability and reliability of regional power systems. Researchers have put forward many combined forecasting models, but most of them cannot capture the global characteristics of data well. So as to improve the accuracy of short-term power load forecasting, this paper puts forward a combined forecasting model based on long-term and short-term memory networks (LSTM) and time convolution networks (TCN). In terms of the power load data, the LSTM and TCN forecasting… Show more
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