Research on Power Load Forecasting Method Based on LSTM Model
Can Cui, Ming He, Fangchun Di, Yi Lu, Yuhan Dai, Fengyi Lv
20202020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)60 citationsDOI
Abstract
Power load forecasting is an important part of power system planning and the foundation of power system economic operation. It is very important for power system planning and operation. The LSTM forecast model is used to Get more accurate power load prediction results. According to the time series rule of power load, the LSTM prediction model for load prediction is established in this paper. A verification experiment has been done to reflect the effect of this method. Experimental results show that accuracy of power load prediction is increased by using LSTM model.
Topics & Concepts
Electric power systemComputer sciencePower (physics)Artificial intelligenceReliability engineeringEngineeringQuantum mechanicsPhysicsAdvanced Computational Techniques and ApplicationsAdvanced Decision-Making TechniquesSmart Grid and Power Systems