Research on Long-Term Electricity Demand Forecasting Based on WOA-BP
Author:
Affiliation:
1. East China Branch of State Grid of China,Shanghai,China
2. North China Electric Power University,School of Economics & Management,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10398602/10398610/10398689.pdf?arnumber=10398689
Reference7 articles.
1. Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique
2. Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method
3. Prediction and comparison of urban electricity consumption based on grey system theory: A case study of 30 southern China cities
4. Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach
5. Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye
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