Jul 16, 2024 · This article presents a novel, model-free energy management policy using a hybrid action deep reinforcement learning algorithm for energy scheduling.
Thus, this work proposes a novel, hybrid action-based dou- ble parameterized deep Q-networks (D-PDQNs) algorithm for energy management of industrial energy ...
This article presents a novel, model-free energy management policy using a hybrid action deep reinforcement learning algorithm for energy scheduling of ...
A novel, model-free energy management policy using a hybrid action deep reinforcement learning algorithm for energy scheduling of industrial equipments ...
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Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy management. The ...
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In this paper, we study the performance of various deep reinforcement learning algorithms to enhance the energy management system of a microgrid.
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Jun 1, 2022 · Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy management.
Missing: Novel | Show results with:Novel
In this paper, we propose an energy management strategy based on deep reinforcement learning for a hybrid battery system in electric vehicles.
... a novel safe hybrid-action reinforcement learning algorithm for HEV energy management. PASACLag utilizes a unique composite action representation to handle ...
Feb 14, 2022 · Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy ...