Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms

Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms

To support regional electricity markets, accurate and reliable energy demand (<i>G</i>) forecast models are vital stratagems for stakeholders in this sector. An online sequential extreme learning machine (OS-ELM) model integrated with a maximum overlap discrete wavelet transform (MODWT)...

Full description

Bibliographic Details
Main Authors: Mohanad S. Al-Musaylh, Ravinesh C. Deo, Yan Li
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
energy security
time-series forecasting
predictive model for electricity demand
OS-ELM
wavelet transformation
MODWT
Online Access:https://www.mdpi.com/1996-1073/13/9/2307

Internet

https://www.mdpi.com/1996-1073/13/9/2307

Similar Items