Comparing model predictive control and reinforcement learning for the optimal operation of building-PV-battery systems
E3S Web of Conf., 396 (2023) 04018
Published online: 2023-06-16
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
575 (2026)
https://doi.org/10.1109/MED70602.2026.11598299
Machine learning-accelerated distributed optimisation methods for optimal power flow: A review
Robert Steven, Oleksiy V. Klymenko and Michael ShortRenewable and Sustainable Energy Reviews 226 116190 (2026)
https://doi.org/10.1016/j.rser.2025.116190
Enhancing Peak Shaving Efficiency in Small Hydro Power Plants Through Machine Learning-Based Predictive Control
Francesca Mangili, Marco Derboni, Lorenzo Zambon, Vincenzo Giuffrida and Matteo SalaniEnergies 19 (4) 985 (2026)
https://doi.org/10.3390/en19040985
Reinforcement learning vs. model-based control in electric vehicle charging microgrids
V. Burgaud, G. Le Goff, P. Kergus and M. FadelControl Engineering Practice 172 106890 (2026)
https://doi.org/10.1016/j.conengprac.2026.106890
AttentionKAN-Based Multi-Agent Reinforcement Learning for Coordinated Battery Energy Storage Control in Residential Demand Response
Suhaib Sajid, Bin Li, Bing Qi, Badia Berehman, Feng Liang, Yang Lei and Ali MuqtadirSustainability 18 (9) 4536 (2026)
https://doi.org/10.3390/su18094536
Comparative analysis of simulation tools for developing, testing, and benchmarking advanced control algorithms in building energy management systems
Parisa Hajialigol, Amin Moazami and Mohammadreza AghaeiFrontiers in Energy Efficiency 3 (2025)
https://doi.org/10.3389/fenef.2025.1546824
A review on electric vehicle charging station operation considering market dynamics and grid interaction
Saheb Ghanbari Motlagh, Jamiu Oladigbolu and Li LiApplied Energy 392 126058 (2025)
https://doi.org/10.1016/j.apenergy.2025.126058
Advancing Hybrid AC/DC Microgrid Converters: Modeling, Control Strategies, and Fault Behavior Analysis
Mostafa Jabari, Mohammad Ghoreishi, Tommaso Bragatto, Francesca Santori, Massimo Cresta, Alberto Geri and Marco MaccioniEnergies 18 (23) 6302 (2025)
https://doi.org/10.3390/en18236302
Design and Optimization Strategy of a Net-Zero City Based on a Small Modular Reactor and Renewable Energy
Jungin Choi and Junhee HongEnergies 18 (15) 4128 (2025)
https://doi.org/10.3390/en18154128
CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Tiago Fonseca, Giuseppe Pinto, Dipanjan Ghose, Satvik Duddukuru, Pavani Pratapa, Han Li, Javad Mohammadi, Luis Lino Ferreira, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli and Zoltan NagyJournal of Building Performance Simulation 18 (1) 17 (2025)
https://doi.org/10.1080/19401493.2024.2418813
Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage
Max Langtry, Vijja Wichitwechkarn, Rebecca Ward, Chaoqun Zhuang, Monika J. Kreitmair, Nikolas Makasis, Zack Xuereb Conti and Ruchi ChoudharyEnergy and Buildings 320 114605 (2024)
https://doi.org/10.1016/j.enbuild.2024.114605
Long-term experimental evaluation and comparison of advanced controls for HVAC systems
Xuezheng Wang and Bing DongApplied Energy 371 123706 (2024)
https://doi.org/10.1016/j.apenergy.2024.123706