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A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF
Lithium-ion batteries have become the fastest-growing energy storage equipment available
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …
Towards Secured Smart Grid 2.0: Exploring Security Threats, Protection Models, and Challenges
Many nations are promoting the green transition in the energy sector to attain neutral carbon
emissions by 2050. SG2 is expected to explore data-driven analytics and enhance …
emissions by 2050. SG2 is expected to explore data-driven analytics and enhance …
Peer-to-peer local energy market: opportunities, barriers, security and implementation options
The concept of the peer-to-peer local energy market (P2P LEM) is no longer novel to the
energy community. Yet, its large-scale implementation within the current electricity network …
energy community. Yet, its large-scale implementation within the current electricity network …
Short-term load forecasting of distribution transformer supply zones based on federated model-agnostic meta learning
With the increasing data privacy concerns raised by not only organizations but also
individuals in distribution systems, traditional centralized data-driven forecasting …
individuals in distribution systems, traditional centralized data-driven forecasting …
Peer-to-peer energy trading under distribution network constraints with preserving independent nature of agents
In recent years, the use of distributed energy resources has accelerated to deal with global
warming. As these resources are decentralized, the current centralized energy market must …
warming. As these resources are decentralized, the current centralized energy market must …
Optimal energy flow in integrated electricity and gas systems with injection of alternative gas
This paper proposes an optimal energy flow technique for the integrated electricity and gas
systems (IEGS) with injections of alternative gases. Firstly, we develop a novel optimal …
systems (IEGS) with injections of alternative gases. Firstly, we develop a novel optimal …
[HTML][HTML] Using bayesian deep learning for electric vehicle charging station load forecasting
D Zhou, Z Guo, Y **e, Y Hu, D Jiang, Y Feng, D Liu - Energies, 2022 - mdpi.com
In recent years, replacing internal combustion engine vehicles with electric vehicles has
been a significant option for supporting reducing carbon emissions because of fossil fuel …
been a significant option for supporting reducing carbon emissions because of fossil fuel …
Moment-based distributionally robust peer-to-peer transactive energy trading framework between networked microgrids, smart parking lots and electricity distribution …
This paper proposes a decentralized scheduling framework for peer-to-peer (P2P)
transactive energy trading between prosumers and the local electricity market (LEM). In this …
transactive energy trading between prosumers and the local electricity market (LEM). In this …
Generalized Nash equilibrium analysis for peer-to-peer transactive energy market considering coupling distribution network constraints
Y **a, Q Xu, Y Ding, L Shi, F Wu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the coupling network constraints, the prosumers' trading strategies influence each
other. This article analyzes the generalized Nash equilibrium (GNE) formulated by the …
other. This article analyzes the generalized Nash equilibrium (GNE) formulated by the …
[HTML][HTML] Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework
Due to the autonomous characteristic and heterogeneity of the individual agents in active
distribution network (ADN) with multi-microgrids (MMG), this paper proposes a fully …
distribution network (ADN) with multi-microgrids (MMG), this paper proposes a fully …