Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions

Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions

Energy management systems are designed to monitor, optimize, and control the smart grid energy market. Demand-side management, considered as an essential part of the energy management system, can enable utility market operators to make better management decisions for energy trading between consumers...

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Bibliographic Details
Main Authors: Seyedeh Narjes Fallah, Ravinesh Chand Deo, Mohammad Shojafar, Mauro Conti, Shahaboddin Shamshirband
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Energies
Subjects:
smart grid
load forecasting
machine learning
computational intelligence (CI)
demand-side management
Online Access:http://www.mdpi.com/1996-1073/11/3/596

Internet

http://www.mdpi.com/1996-1073/11/3/596

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