Ten questions concerning reinforcement learning for building energy management

Author:

Nagy ZoltanORCID,Henze Gregor,Dey Sourav,Arroyo Javier,Helsen Lieve,Zhang Xiangyu,Chen Bingqing,Amasyali Kadir,Kurte Kuldeep,Zamzam Ahmed,Zandi Helia,Drgoňa Ján,Quintana Matias,McCullogh Steven,Park June Young,Li Han,Hong Tianzhen,Brandi Silvio,Pinto Giuseppe,Capozzoli Alfonso,Vrabie Draguna,Bergés Mario,Nweye Kingsley,Marzullo Thibault,Bernstein Andrey

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference167 articles.

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3. Grid-interactive efficient buildings technical report series: Whole-building controls, sensors, modeling, and analytics;Roth,2019

4. Gnu-RL: A precocial reinforcement learning solution for building HVAC control using a differentiable MPC policy;Chen,2019

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