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Exploring the Potentialities of Deep Reinforcement Learning for Incentive-Based Demand Response in a Cluster of Small Commercial Buildings

机译：探索小型商业建筑集群中激励基于激励的需求响应的深增强学习潜力

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Davide Deltetto; Davide Coraci; Giuseppe Pinto; Marco Savino Piscitelli; Alfonso Capozzoli;
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1. Incentive-based demand response for smart grid with reinforcement learning and deep neural network [J] . Lu Renzhi, Hong Seung Ho Applied Energy . 2019,第FEBa15期

机译：带有强化学习和深度神经网络的基于激励的智能电网需求响应
2. Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings [J] . Liang Yu, Yi Sun, Zhanbo Xu, Smart Grid, IEEE Transactions on . 2021,第1期

机译：商业建筑中HVAC控制的多功能深度加固学习
3. Modified deep learning and reinforcement learning for an incentivebased demand response model [J] . Lulu Wen, Kaile Zhou, Jun Li, Energy . 2020,第Auga15期

机译：激动的需求响应模型改造的深度学习和加固学习
4. A Modified Incentive-based Demand Response Model using Deep Reinforcement Learning [C] . Hongsheng Xu, Wenteng Kuang, Jixiang Lu, IEEE PES Asia-Pacific Power and Energy Engineering Conference . 2020

机译：基于深度强化学习的改进的基于激励的需求响应模型
5. Deep Reinforcement Learning for the Optimization of Building Energy Control and Management [D] . Hao, Jun. 2020

机译：建筑能源控制和管理优化的深度增强学习
6. On-Demand Channel Bonding in Heterogeneous WLANs: A Multi-Agent Deep Reinforcement Learning Approach [O] . Hang Qi, Hao Huang, Zhiqun Hu, 2020

机译：异构WLAN中的按需信道绑定：多代理深度强化学习方法
7. Safe Reinforcement Learning-Based Resilient Proactive Scheduling for a Commercial Building Considering Correlated Demand Response [O] . Zheming Liang, Can Huang, Wencong Su, 2021

机译：考虑相关需求响应的商业建筑的基于安全强化学习的弹性主动调度

Exploring the Potentialities of Deep Reinforcement Learning for Incentive-Based Demand Response in a Cluster of Small Commercial Buildings

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