Seylab, M. R., Naderi, M. S., & Gharehpetian, G. B. (2024). 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. Sustainable cities and society, 117, 105957. https://doi.org/10.1016/j.scs.2024.105957
Chicago Style (17th ed.) CitationSeylab, Masoumeh Rezazadeh, Mehdi S. Naderi, and Gevork B. Gharehpetian. "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." Sustainable Cities and Society 117 (2024): 105957. https://doi.org/10.1016/j.scs.2024.105957.
MLA (9th ed.) CitationSeylab, Masoumeh Rezazadeh, et al. "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." Sustainable Cities and Society, vol. 117, 2024, p. 105957, https://doi.org/10.1016/j.scs.2024.105957.