A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction
Reference71 articles.
1. Empirical mode decomposition based ensemble deep learning for load demand time series forecasting;Qiu;Appl Soft Comput,2017
2. Electric load forecasting by the svr model with differential empirical mode decomposition and auto regression;Fan;Neurocomputing,2016
3. A novel decomposition-ensemble model for forecasting short-term load-time series with multiple seasonal patterns;Zhang;Appl Soft Comput,2018
4. A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting;Leng;Adv Eng Inform,2018
5. A new method for probabilistic assessments in power systems, combining monte carlo and stochastic-algebraic methods;Noruzi;Complexity,2015
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