Short-term power load forecasting based on hybrid decomposition method and attention mechanism-temporal convolutional network
Power load forecasting is a key task in power system operation and control. Due to the non-stationarity and complex randomness of power loads, it is challenging to accurately predict power loads. A short-term load forecasting method is proposed based on a hybrid decomposition approach and time convolutional network wit...