Research and Application of Transmission Network Planning in the Smart Grid Environment
With the increasing global energy demand and the need for environmental protection,smart grids are gradually replacing traditional power grids as an advanced power system solution.The smart grid integrates information and communication technology(ICT)to achieve intelligent and automated management of the power system.This study proposes a power load forecasting model based on Long Short Term Memory(LSTM)network for transmission network planning in the smart grid environment.As a deep learning model,LSTM can effectively process time series data and capture long-term dependencies,thereby improving the accuracy of power load forecasting.
global energysmart gridpower systemtransmission network planning
万方数据
维普
