IEEE

Short-Term Power Load Forecasting Based on Feature Selection and Improved Gaussian Process Regression

Abstract: In order to overcome the influence of many factors on electricity load and to adapt to the complex power system environment of today, this paper proposes a short-term forecast of electricity ...
IEEE

Short-Term Electricity Load Forecasting Based on NeuralProphet and CNN-LSTM

Abstract: For distribution networks, accurate short-term load forecasting is a prerequisite for the safe and stable operation as well as economically optimized dispatching of the grid. In order to ...