Short-term power load combination forecasting method based on PSO-LSTM

Short-term power load forecasting can help the power system to achieve stable scheduling, ensure the security of the power system, and fully optimize the resource allocation of the power system. Based on the study of existing load forecasting algorithms, a short-term power load forecasting method based on the particle swarm algorithm with long and short-term memory algorithms is proposed, which is able to make a good prediction of the short-term power load.