A novel deep reinforcement learning based methodology for short-term HVAC system energy consumption prediction

Author:

Liu Tao,Xu Chengliang,Guo Yabin,Chen Huanxin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference51 articles.

1. Deployment of data-mining short and medium-term horizon cooling load forecasting models for building energy optimization and management;Ahmad;Int. J. Refrig.,2019

2. Deep neural networks for energy load forecasting;Amarasinghe,2017

3. A review of data-driven building energy consumption prediction studies;Amasyali;Renew. Sustain. Energy Rev.,2018

4. Intelligent techniques for forecasting electricity consumption of buildings;Amber;Energy,2018

5. Autonomous hvac control, a reinforcement learning approach;Barrett,2015

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