Dynamic Energy Management and Control of Networked Microgrids based on Load to Grid Services and Incentive-Based Demand Response Programs: A Multi-Agent Deep Reinforcement Learning Approach DOI

Masoumeh Rezazadeh Seylab,

Mehdi Salay Naderi, Gevork B. Gharehpetian

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105957 - 105957

Published: Nov. 3, 2024

Language: Английский

Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach DOI

Ali Rashid Ramul,

Atefeh Salimi Shahraki,

Naseer K. Bachache

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136038 - 136038

Published: April 1, 2025

Language: Английский

Citations

0
Energy management of networked energy hub considering risk assessment and cyber security: A deep reinforcement learning approach DOI

Abbas Dalimi-Asl,

Shahram Javadi, Amir Ahmarinejad

et al.

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 124, P. 110262 - 110262

Published: April 14, 2025

Language: Английский

Citations

0
Evolutionary algorithm- based sliding mode control of a photovoltaic/battery system DOI
Jafar Tavoosi, Saeed Danyali, Mohammadamin Shirkhani

et al.

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 246, P. 111717 - 111717

Published: April 16, 2025

Language: Английский

Citations

0
Game-theoretic evolution in renewable energy systems: Advancing sustainable energy management and decision optimization in decentralized power markets DOI
Lefeng Cheng, Feng Yu, Pengrong Huang

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 217, P. 115776 - 115776

Published: April 23, 2025

Language: Английский

Citations

0
Reinforcement Learning Based Mobile Energy Disseminator Dispatching for On-Road Electric Vehicle Charging DOI Creative Commons
Jiaming Wang,

Jiqian Dong,

Haotian Shi

et al.

Multimodal Transportation, Journal Year: 2025, Volume and Issue: unknown, P. 100232 - 100232

Published: April 1, 2025

Language: Английский

Citations

0
Parametric Study of Adaptive Reinforcement Learning for Battery Operations in Microgrids DOI Creative Commons
Deepak Kumar Panda, Saptarshi Das, Mohammad Abusara

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123250 - 123250

Published: April 1, 2025

Language: Английский

Citations

0
Market-based optimization of integrated energy systems: Modeling and analysis of multi-carrier energy networks DOI
Jui-Chan Huang, Hui-Ching Cheng, Ming‐Hung Shu

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 239, P. 111245 - 111245

Published: Nov. 15, 2024

Language: Английский

Citations

1
Energy management in networked microgrids: Leveraging predictive analytics for renewable sources DOI Creative Commons
Nima Khosravi, Adel Oubelaid, Youcef Belkhier

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: unknown, P. 100828 - 100828

Published: Dec. 1, 2024

Language: Английский

Citations

1
Dynamic Energy Management and Control of Networked Microgrids based on Load to Grid Services and Incentive-Based Demand Response Programs: A Multi-Agent Deep Reinforcement Learning Approach DOI

Masoumeh Rezazadeh Seylab,

Mehdi Salay Naderi, Gevork B. Gharehpetian

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105957 - 105957

Published: Nov. 3, 2024

Language: Английский

Citations

0