Recent Trends and Issues of Energy Management Systems Using Machine Learning
Energy management systems (EMSs) are regarded as essential components within smart grids. In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS empowered by machine learning (ML) has been addressed as a promising solution. A comprehensive review of current literatur...
Main Authors: | Seongwoo Lee, Joonho Seon, Byungsun Hwang, Soohyun Kim, Youngghyu Sun, Jinyoung Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/17/3/624 |
Similar Items
-
Coordination optimization of hydrogen‐based multi‐energy system with multiple storages for industrial park
by: Kun Liu, et al.
Published: (2023-03-01) -
Priority-Based Energy Sharing and Management Among Prosumers in Smart Grids
by: Usman Mussadiq, et al.
Published: (2022-01-01) -
Operational Issues of Contemporary Distribution Systems: A Review on Recent and Emerging Concerns
by: Kabulo Loji, et al.
Published: (2023-02-01) -
A Survey on Microgrid Energy Management Considering Flexible Energy Sources
by: Hossein Shayeghi, et al.
Published: (2019-06-01) -
A Review on Optimal Energy Management in Commercial Buildings
by: Jahangir Hossain, et al.
Published: (2023-02-01)