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Dec 15, 2023 ， This research proposes the use of RL for the development of a fridge energy management system capable of minimizing energy consumption and optimizing the use ...
Jun 16, 2024 ， The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy management systems which employ reinforcement learning-based methods ...
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Aug 19, 2024 ， This paper explores the use of advanced machine learning algorithms, specifically Support Vector Regression (SVR), to enhance the efficiency and reliability of ...
Missing: HVAC | Show results with:HVAC
Apr 22, 2024 ， HomeLabGym allows researchers to prototype, deploy, and analyze HEMS controllers within the controlled test environment of a real-world house.
Sep 26, 2024 ， PDF | The current paper presents a comprehensive review analysis of Multi-agent control methodologies for Integrated Building Energy Management Systems.
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Mar 4, 2024 ， In this paper, Deep Reinforcement Learning (DRL) based EMS optimization method is proposed to optimize the pricing and energy exchanging mechanisms of the P2P ...
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Sep 27, 2024 ， This paper proposes a deep reinforcement learning-based distributed resource energy management strategy, taking into account the inherent physical and ...
Jul 23, 2024 ， Dr. Di Shi is an associate professor with the Klipsch School of Electrical and Computer Engineering at New Mexico State University (NMSU).
Jul 29, 2024 ， This paper presents a hierarchical deep reinforcement learning (DRL) method for the scheduling of energy consumptions of smart home appliances and distributed ...
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Jul 18, 2024 ， This review paper delves into the various control strategies utilized by energy management controllers and explores their coordination mechanisms.
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