A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting

Ping Jiang(University of Electronic Science and Technology of China), Jiani Heng(Beijing Technology and Business University), Hufang Yang(Nanjing University of Posts and Telecommunications)
Applied Energy
November 13, 2018
10.1016/j.apenergy.2018.11.012
Cited by 164

Related Papers

A combined forecasting model for time series: Application to short-term wind speed forecasting
|Applied Energy|2019|305
A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
|Energy|2020|234
The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China
|Applied Energy|2015|167
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
|Expert Systems with Applications|2021|159
A novel composite electricity demand forecasting framework by data processing and optimized support vector machine
|Applied Energy|2020|139