[2301.00641] Federated Multi-Agent Deep Reinforcement Learning
The utilization of large-scale distributed renewable energy promotes the development of the multi-microgrid (MMG), which raises the need of developing an effective energy management
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Li Zeng''s Homepage
I study the physics and chemistry of exoplanets.
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Dynamic Energy Management of a Microgrid Using Approximate
Zeng, Peng, Hepeng Li, Haibo He, and Shuhui Li. "Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning."
Federated Multi-agent Deep Reinforcement Learning for Multi
Dive into the research topics of ''Federated Multi-agent Deep Reinforcement Learning for Multi-microgrid Energy Management''. Together they form a unique fingerprint.
Yuanzheng Li
This article investigates the load scheduling problem within a residential microgrid, where the microgrid operator is regarded as a trusted third-party that provides a limited information exchange for all
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Liu, D., Zang, C., Zeng, P., Li, W., Wang, X., Liu, Y., et al. (2023
ABSTRACT: The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative
Artificial Intelligence Enabled Computational Methods
His primary research and teaching areas are focused on power and energy system optimization and control, with specific interests in the modeling of large-scale
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Large Stability Analysis of Droop-Controlled Multi-Converter DC
This article establishes a circuit model for a droop controlled multi converter DC microgrid with ZIP (constant impedance, constant power, and constant current) loads.
Frontiers | Deep reinforcement learning for real-time
In this paper, a deep deterministic policy gradient (DDPG) is introduced as a method for resolving the Markov decision process. The DDPG is
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A novel linear search-linear programming method for non-convex multi
Accordingly, this paper proposes a novel non-rule-based leader–follower sizing method, named linear search-linear programming (LS-LP), suitable for standalone PV/BESS, PV/HESS, and
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