Research on Power Load Forecasting Method Based on LSTM Model

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 r...

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Bibliographic Details
Published in2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) pp. 1657 - 1660
Main Authors Cui, Can, He, Ming, Di, Fangchun, Lu, Yi, Dai, Yuhan, Lv, Fengyi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2020
Subjects
Data models
deep learning
Load forecasting
Load modeling
Logic gates
LSTM
Power dispatching and controlling
power load forecasting
Predictive models
Time series analysis
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Summary: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.
DOI:10.1109/ITOEC49072.2020.9141684