Data-driven solutions for microgrids energy management systems: A state-of-the-art survey on current trends and future directions
Authors:
- S. HabibniaSHS. Habibnia
- M. FarajiMFM. Faraji
- M.H. AlizadehMAM.H. Alizadeh
- M. Mollayousefi ZadehMZM. Mollayousefi Zadeh
- R. CaireRCR. Caire
- G.B. GharehpetianG.B. Gharehpetian
- J.M. GuerreroJGJ.M. Guerrero
- 6 December 2025
- journal article
- Published by Elsevier in Renewable and Sustainable Energy Reviews
- Vol. 228
Abstract
No abstract availableFunding Information
- Iran National Science Foundation (4030297)
This publication has 161 references indexed in Scilit:
- Analysis of the computational costs of an evolutionary fuzzy rule-based internet-of-things energy management approachAd Hoc Networks, 2024
- Data-driven energy management of virtual power plants: A reviewAdvances in Applied Energy, 2024
- Optimal dispatching of renewable energy‐based urban microgrids using a deep learning approach for electrical load and wind power forecastingInternational Journal of Energy Research, 2021
- Machine Learning: Algorithms, Real-World Applications and Research DirectionsSN Computer Science, 2021
- Adaptive and Online Control of Microgrids Using Multi-agent Reinforcement Learning2019
- Demand response algorithms for smart-grid ready residential buildings using machine learning modelsApplied Energy, 2019
- Microgrids energy management systems: A critical review on methods, solutions, and prospectsApplied Energy, 2018
- Energy management strategy for a renewable-based residential microgrid with generation and demand forecastingApplied Energy, 2015
- The journal coverage of Web of Science and Scopus: a comparative analysisScientometrics, 2015
- Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricingApplied Energy, 2014