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Simulation-Based Analysis of DRL Exploitation Rate for Voltage and Frequency Stability in a Single-Inverter Microgrid Control System
Noer Fadzri Perdana Dinata, Makbul Anwari Muhammad Ramli, Muhammad Irfan Jambak, Prisma Megantoro and Muhammad Abu Bakar Sidik IEEE Access 13 112731 (2025) https://doi.org/10.1109/ACCESS.2025.3580992
Multiagent Imitation Learning-Based Energy Management of a Microgrid With Hybrid Energy Storage and Real-Time Pricing
Designing an optimal microgrid control system using deep reinforcement learning: A systematic review
Noer Fadzri Perdana Dinata, Makbul Anwari Muhammad Ramli, Muhammad Irfan Jambak, Muhammad Abu Bakar Sidik and Mohammed M. Alqahtani Engineering Science and Technology, an International Journal 51 101651 (2024) https://doi.org/10.1016/j.jestch.2024.101651
A Parallel Framework for Fast Charge/Discharge Scheduling of Battery Storage Systems in Microgrids
Dispatch of decentralized energy systems using artificial neural networks: A comparative analysis with emphasis on training methods
Lukas Koenemann, Astrid Bensmann, Johannes Gerster and Richard Hanke-Rauschenbach Energy Conversion and Management: X 24 100730 (2024) https://doi.org/10.1016/j.ecmx.2024.100730
An Overview of the Multilevel Control Scheme Utilized by Microgrids
Design and planning of flexible mobile Micro-Grids using Deep Reinforcement Learning
Cesare Caputo, Michel-Alexandre Cardin, Pudong Ge, Fei Teng, Anna Korre and Ehecatl Antonio del Rio Chanona Applied Energy 335 120707 (2023) https://doi.org/10.1016/j.apenergy.2023.120707
Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand Using Deep Reinforcement Learning
Cephas Samende, Zhong Fan, Jun Cao, Renzo Fabián, Gregory N. Baltas and Pedro Rodriguez Energies 16(19) 6770 (2023) https://doi.org/10.3390/en16196770
A Comprehensive Review on The Potential of Green Hydrogen in Empowering the Low-Carbon Economy: Development Status, Ongoing Trends and Key Challenges
Ayatte. I. Atteya, Dallia Ali, Mamdud Hossain and Nazmi Sellami Green Energy and Environmental Technology 2 (2023) https://doi.org/10.5772/geet.23
Optimal control of renewable energy communities with controllable assets
Deep reinforcement learning based energy storage management strategy considering prediction intervals of wind power
Fang Liu, Qianyi Liu, Qing Tao, Yucong Huang, Danyun Li and Denis Sidorov International Journal of Electrical Power & Energy Systems 145 108608 (2023) https://doi.org/10.1016/j.ijepes.2022.108608
Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning
AI agents envisioning the future: Forecast-based operation of renewable energy storage systems using hydrogen with Deep Reinforcement Learning
Alexander Dreher, Thomas Bexten, Tobias Sieker, Malte Lehna, Jonathan Schütt, Christoph Scholz and Manfred Wirsum Energy Conversion and Management 258 115401 (2022) https://doi.org/10.1016/j.enconman.2022.115401
Artificial Intelligence in Project Management and Making Decisions
Armando Plasencia Salgueiro, Ileana Dopico Mateo, Arlety García García, Ystria Rivero Ripoll and Ileana Suárez Blanco Studies in Computational Intelligence, Artificial Intelligence in Project Management and Making Decisions 1035 321 (2022) https://doi.org/10.1007/978-3-030-97269-1_18
Deep reinforcement learning for energy management in a microgrid with flexible demand
Model-predictive control and reinforcement learning in multi-energy system case studies
Glenn Ceusters, Román Cantú Rodríguez, Alberte Bouso García, Rüdiger Franke, Geert Deconinck, Lieve Helsen, Ann Nowé, Maarten Messagie and Luis Ramirez Camargo Applied Energy 303 117634 (2021) https://doi.org/10.1016/j.apenergy.2021.117634
Cesar Garrido, Luis G. Marin, Guillermo Jimenez-Estevez, Fernando Lozano and Carolina Higuera 1 (2021) https://doi.org/10.1109/CHILECON54041.2021.9703072
Review of Energy Management System Approaches in Microgrids