Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

Daily peak load forecasting is an important part of power load forecasting. The accuracy of its prediction has great influence on the formulation of power generation plan, power grid dispatching, power grid operation and power supply reliability of power system. Therefore, it is of great significanc...

Full description

Bibliographic Details
Main Authors: Shuyu Dai, Dongxiao Niu, Yan Li
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Energies
Subjects:
daily peak load forecasting
complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)
modified grey wolf optimization (MGWO)
support vector machine (SVM)
Online Access:http://www.mdpi.com/1996-1073/11/1/163

Internet

http://www.mdpi.com/1996-1073/11/1/163

Similar Items