202464 · Scalable energy management approach of residential hybrid energy system using multi-agent deep reinforcement learning. Zixuan Wang, Fu Xiao, Yi Ran, Yanxue Li and Yang Xu. Applied Energy, 2024, vol. 367, issue C, No S0306261924007979 . Abstract: Deploying renewable energy and implementing smart energy management strategies are
202057 · A scalable, causal, adaptive optimal control-based energy management strategy for the fuel cell hybrid train is designed. As learned from the results of offline Pontryagin''s minimum principle
This paper proposes a solution that cascades DRL and MO to address challenges in scalable BSS energy management, including fluctuating charging bay counts, high
202464 · Abstract: Deploying renewable energy and implementing smart energy management strategies are crucial for decarbonizing Building Energy Systems (BES).
2014826 · The Scalable Energy Management Infrastructur e. for Aggregation of Households (SEMIAH) project will dev elop. a generic environment f or the deployment and innovation of. smart grid services in
2015825 · In this work, we propose a scalable rule-based energy management system for managing the acquisition, mixing, delivery and storage of energy for arbitrary
2024415 · With the rapid development of distributed energy resources, an increasing number of residential and commercial users have been switched from pure electricity consumers to prosumers who can both consume and produce energy. To properly manage these emerging prosumers, the peer-to-peer (P2P) electricity market has been explored
2024415 · A Scalable Energy Management Mechanism for Peer-to-Peer Electricity Market. IEEE Transactions on Industrial Informatics ( IF 12.3 ) Pub Date : 2024-04-15,
2024315 · The scalable learning in novel environment-based EMS is proposed for an FCEV. lifespan of the fuel cell (FC), and durability of the lithium-ion battery in fuel cell electric vehicles (FCEVs), energy management strategies (EMSs) have been developed and implemented in the vehicle control units (VCUs) by engineers. Recently, with the rapid
A Scalable and Computational Efficient Peer-to-Peer Energy Management Scheme Abstract: Peer-to-peer (P2P) trading is essential in maximising the benefits of renewable
Response of demand, distributed generation and electricity storage (e.g. vehicle to grid) will be crucial for power systems management in the future smart electricity grid. In this paper, we describe a smart grid technology that integrates demand and supply flexibility in the operation of the electricity system through the use of dynamic pricing. Over the last few
2024415 · In this article, a scalable energy management mechanism is proposed for the P2P electricity market. First, the multibilateral economic dispatch problem that
This paper proposes multi-agent energy storage system aggregation as a means of scaling energy management to low voltage microgrids with distributed energy stor.
Load shifting is used to incorporate demand-side management. Cloud computing-based proposed algorithm is used for determining the energy profile and prices for each internal transaction (B2B, B2C, and C2C) separately to encourage the participation of each building by benefiting them appropriately and avoiding privacy/security issues normally
202061 · A scalable, causal, adaptive optimal control-based energy management strategy for fuel cell hybrid trains is designed. As learned from the results of offline PMP,
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20231029 · The energy system with a fuel cell (FC) and energy storage systems (ESS), including batteries and supercapacitors, has been considered to extend operation time and ensure long life cycles of ESSs in various electric mobility applications, such as unmanned aerial vehicles and electric vehicles. To enable the utilization of multiple
20201211 · The EMA framework architecture details how EMAs can be harmonized to enable cooperative energy management using the technology of the service-oriented holonic multiagent approach. The EMA framework provides a scalable, flexible, and efficient-energy management architecture in the 5G vertical industry to enable Industry 4.0.