Machine learning applications in energy systems: current trends, challenges, and research directions

Machine learning applications in energy systems: current trends, challenges, and research directions

Abstract The paradigm shift towards Smart Grids, Smart Buildings, Smart Monitoring, and Operation has driven researchers to propose innovative solutions for designing and maintaining energy systems. Although the integration of Renewable Energy Sources (RES) supports sustainability goals, it also int...

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Bibliographic Details
Main Authors: Saad Aslam, Pyi Phyo Aung, Ahmad Sahban Rafsanjani, Anwar P. P. Abdul Majeed
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Energy Informatics
Subjects:
Machine learning
Renewable energy systems
Sustainable energy
Energy efficiency
Smart grids
Online Access:https://doi.org/10.1186/s42162-025-00524-6
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