Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems

Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems

Improved performance electricity demand forecast can provide decentralized energy system operators, aggregators, managers, and other stakeholders with essential information for energy resource scheduling, demand response management, and energy market participation. Most previous methodologies have f...

Full description

Bibliographic Details
Main Authors: Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Binary genetic algorithm
decentralized energy system
electricity demand forecasting
feature selection
feedforward artificial neural network
fitness evaluation measure
Online Access:https://ieeexplore.ieee.org/document/8744520/

Internet

https://ieeexplore.ieee.org/document/8744520/

Similar Items