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