Distributed Peer-to-Peer Optimization Based on Robust Reinforcement Learning with Demand Response: A Review

Computers, Год журнала: 2025, Номер 14(2), С. 65 - 65

Опубликована: Фев. 13, 2025

The increasing adoption of renewable energy resources and the growing need for efficient adaptable management have emphasized importance innovative solutions sharing storage. This study aims to analyze application advanced optimization techniques in decentralized systems, focusing on strategies that improve distribution, adaptability, reliability. research employs a comprehensive review methodology, examining reinforcement learning approaches, demand response mechanisms, integration battery storage systems enhance flexibility scalability P2P markets. main findings highlight significant advancements robust decision-making frameworks, real-time trading. Additionally, this identifies key technical regulatory challenges, such as computational complexity, market uncertainty, lack standardized legal while proposing pathways address them through intelligent collaborative solutions. originality work lies its structured analysis emerging trading models, providing valuable insights into future design are efficient, sustainable, resilient.

Язык: Английский

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Internal Strain Characterization of High-Capacity Lithium-Ion Batteries Based on In-Situ Measurements with Array Fiber Grating Sensors

Опубликована: Янв. 1, 2025

Язык: Английский

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Thermal management of 500 Ah large-capacity lithium-ion battery and module with composite phase-change materials and heat pipes: An experimental and simulation study

Journal of Energy Storage, Год журнала: 2025, Номер 125, С. 116862 - 116862

Опубликована: Май 9, 2025

Язык: Английский

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Applicability of HFC-227ea/CO2 for battery energy storage systems safety: Insights from explosion suppression experiments and kinetic analysis

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 97, С. 1424 - 1439

Опубликована: Дек. 6, 2024

Язык: Английский

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