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.
关键词
全球能源/智能电网/电力系统/输电网规划
Key words
global energy/smart grid/power system/transmission network planning
维普
万方数据