An Improved Residential Electricity Load Forecasting Using a Machine-Learning-Based Feature Selection Approach and a Proposed Integration Strategy

An Improved Residential Electricity Load Forecasting Using a Machine-Learning-Based Feature Selection Approach and a Proposed Integration Strategy

Load forecasting (LF) has become the main concern in decentralized power generation systems with the smart grid revolution in the 21st century. As an intriguing research topic, it facilitates generation systems by providing essential information for load scheduling, demand-side integration, and ener...

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Bibliographic Details
Main Authors: Adnan Yousaf, Rao Muhammad Asif, Mustafa Shakir, Ateeq Ur Rehman, Mohmmed S. Adrees
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
binary genetic algorithm
principal component analysis
mean absolute percentage error
load forecasting
Online Access:https://www.mdpi.com/2071-1050/13/11/6199

Internet

https://www.mdpi.com/2071-1050/13/11/6199

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