Development of an HVAC system control method using weather forecasting data with deep reinforcement learning algorithms

Author:

Shin MinjaeORCID,Kim Sungsoo,Kim Youngjin,Song Ahhyun,Kim Yeeun,Kim Ha YoungORCID

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

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

Reference56 articles.

1. A simulation appraisal of energy performance in office building by different types of air-conditioning;Choi;Korean J. Air-Conditioning Refrigeration Eng.,2012

2. ‘HVAC’, Which Accounts for 40% of Building Energy Consumption;Lee,2022

3. Building Optimization and Fault Diagnosis Source Book,1996

4. Model predictive control under weather forecast uncertainty for HVAC systems in university buildings;Hou;Energy Build.,2021

5. Approximate model predictive building control via machine learning;Drgoňa;Appl. Energy,2018

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