Electric Load Forecasting based on Wavelet Transform and Random Forest
Author:
Affiliation:
1. School of Mathematics & Statistics Pingdingshan University Pingdingshan 467000 China
2. Department of Information Management Asia Eastern University of Science and Technology New Taipei 220 Taiwan
Funder
Ministry of Science and Technology, Taiwan
Science and Technology Department of Henan Province
Publisher
Wiley
Subject
Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100334
Reference24 articles.
1. Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting
2. A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
3. Building electricity consumption: Data analytics of building operations with classical time series decomposition and case based subsetting
4. Forecasting electricity load with advanced wavelet neural networks
5. Random vector functional link network for short-term electricity load demand forecasting
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