A hybrid electric load forecasting model based on decomposition considering fisher information
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Elsevier BV
Reference58 articles.
1. A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm;He;Appl Energy,2019
2. Short-term electric load forecasting based on singular spectrum analysis and support vector machine optimized by Cuckoo search algorithm;Zhang;Electr Pow Syst Res,2017
3. Robust regression models for load forecasting;Jian;IEEE Trans Smart Grid,2019
4. GEFCom2014 probabilistic electric load forecasting using time series and semi-parametric regression models;Dordonnat;Int J Forecast,2016
5. Hourly cooling load forecasting using time-indexed ARX models with two-stage weighted leastsquares regression;Guo;Energ Conver Manage,2014
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