A novel composite electricity demand forecasting framework by data processing and optimized support vector machine
Ping Jiang(University of Electronic Science and Technology of China), Yuyang Gao(Yunnan University), Ranran Li(Yanshan University), Ningning Liu(Jiangsu University)
Cited by 139
Related Papers
A combined forecasting model for time series: Application to short-term wind speed forecasting
|Applied Energy|2019|305
The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China
|Applied Energy|2015|167
A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
|Applied Energy|2018|164
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