A novel hybrid model for bi-objective short-term electric load forecasting
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference35 articles.
1. Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables;Chui;Eur J Ind Eng,2009
2. Functional clustering and linear regression for peak load forecasting;Goia;Int J Forecasting,2010
3. Short-term electricity demand forecasting using double seasonal exponential smoothing;Taylor;J Oper Res Soc,2003
4. Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm;Hong;Int J Electr Power Energy Syst,2013
5. ARIMA forecasting of primary energy demand by fuel in Turkey;Ediger;Energy Policy,2007
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