Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Study on the application of reinforcement learning in the operation optimization of HVAC system
Xiaolei Yuan, Yiqun Pan, Jianrong Yang, et al.
Building Simulation (2020) Vol. 14, Iss. 1, pp. 75-87
Closed Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

Heating energy-saving potentials in HVAC system of swimming halls: A review
Xiaolei Yuan, Zhisen Chen, Yumin Liang, et al.
Building and Environment (2021) Vol. 205, pp. 108189-108189
Closed Access | Times Cited: 26
Smart control of window and air cleaner for mitigating indoor PM2.5 with reduced energy consumption based on deep reinforcement learning
Yuting An, Zhuolun Niu, Chun Chen
Building and Environment (2022) Vol. 224, pp. 109583-109583
Closed Access | Times Cited: 16
End-to-End Deep Reinforcement Learning Control for HVAC Systems in Office Buildings
Xuyang Zhong, Zhiang Zhang, Ruijun Zhang, et al.
Designs (2022) Vol. 6, Iss. 3, pp. 52-52
Open Access | Times Cited: 14
MF^2: Model-free reinforcement learning for modeling-free building HVAC control with data-driven environment construction in a residential building
Man Wang, Borong Lin
Building and Environment (2023) Vol. 244, pp. 110816-110816
Closed Access | Times Cited: 8
Intelligent Distributed Temperature and Humidity Control Mechanism for Uniformity and Precision in the Indoor Environment
Yunqi Sun, Yong Zhang, Da Guo, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 19, pp. 19101-19115
Closed Access | Times Cited: 13
Exploring automated energy optimization with unstructured building data: A multi-agent based framework leveraging large language models
Tong Xiao, Peng Xu
Energy and Buildings (2024) Vol. 322, pp. 114691-114691
Closed Access | Times Cited: 2
Multi-Strategy Improved Sparrow Search Algorithm and Application
Xiangdong Liu, Yan Bai, Cunhui Yu, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 6, pp. 96-96
Open Access | Times Cited: 11
Energy Cost Driven Heating Control with Reinforcement Learning
Lotta Kannari, Julia Kantorovitch, Kalevi Piira, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 427-427
Open Access | Times Cited: 5
Building Performance under Untypical Weather Conditions: A 40-Year Study of Hong Kong
Siwei Lou, Zhengjie Peng, Jilong Cai, et al.
Buildings (2023) Vol. 13, Iss. 10, pp. 2587-2587
Open Access | Times Cited: 5
A seasonal experimental study on a novel CdTe based multi-layer PV ventilated window system integrated with PCM under different operating modes
Wei Ke, Jie Ji, Chengyan Zhang, et al.
Energy (2023) Vol. 285, pp. 129440-129440
Closed Access | Times Cited: 5
A non-cooperative game-based distributed optimization method for chiller plant control
Shiyao Li, Yiqun Pan, Qiujian Wang, et al.
Building Simulation (2021) Vol. 15, Iss. 6, pp. 1015-1034
Closed Access | Times Cited: 13
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Shengze Lu, Shiyu Zhou, Yan Ding, et al.
Results in Engineering (2024), pp. 103765-103765
Open Access | Times Cited: 1
A Review on Reinforcement Learning in Production Scheduling: An Inferential Perspective
Vladimír Modrák, R. Sudhakara Pandian, Arunmozhi Balamurugan, et al.
(2024)
Open Access | Times Cited: 1
Energy-Efficient HVAC Control based on Reinforcement Learning and Transfer Learning in a Residential Building
Man Wang, Borong Lin, Z. Yang
2022 IEEE International Conference on Industrial Technology (ICIT) (2024), pp. 1-7
Closed Access | Times Cited: 1
A Review on Reinforcement Learning in Production Scheduling: An Inferential Perspective
Vladimír Modrák, R. Sudhakara Pandian, Arunmozhi Balamurugan, et al.
Algorithms (2024) Vol. 17, Iss. 8, pp. 343-343
Open Access | Times Cited: 1
Model free optimization of building cooling water systems with refined action space
Qiaofeng Xiong, Zhengwei Li, Wenxia Cai, et al.
Building Simulation (2022) Vol. 16, Iss. 4, pp. 615-627
Closed Access | Times Cited: 7
Investigation of VRF system cooling operation and performance in residential buildings based on large-scale dataset
Hua Liu, Yi Wu, Da Yan, et al.
Journal of Building Engineering (2022) Vol. 61, pp. 105219-105219
Closed Access | Times Cited: 6
Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance
Ngoc-Tri Ngo, Ngoc-Son Truong, Thi Thu Ha Truong, et al.
Journal of Asian Architecture and Building Engineering (2023) Vol. 23, Iss. 1, pp. 264-281
Open Access | Times Cited: 3
Evaluating the Performance of Water Chillers Equipped with Constant- or Variable-Frequency Centrifugal Compressors
Chih-Neng Hsu, Shih‐Hao Wang
Processes (2021) Vol. 9, Iss. 6, pp. 1039-1039
Open Access | Times Cited: 8
Application of deep reinforcement learning to intelligent distributed humidity control system
Da Guo, Danfeng Luo, Yong Zhang, et al.
Applied Intelligence (2022) Vol. 53, Iss. 13, pp. 16724-16746
Closed Access | Times Cited: 4
Optimization Control Strategy for a Central Air Conditioning System Based on AFUCB-DQN
He Tian, M. Ben Feng, Huaicong Fan, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2068-2068
Open Access | Times Cited: 2
Airflow management and energy saving potentials at a high-density data center with stepped-like server placement
Xiaolei Yuan, Yumin Liang, Yiqun Pan, et al.
International Journal of Green Energy (2021) Vol. 19, Iss. 14, pp. 1554-1567
Closed Access | Times Cited: 5
Reinforcement Learning for Residential Heat Pump Operation
Simon Schmitz, Karoline Brucke, Pranay Kasturi, et al.
(2024)
Open Access
Application of reinforcement learning to deduce nuclear power plant severe accident scenario
Seok Ho Song, Yeonha Lee, Jun Yong Bae, et al.
Annals of Nuclear Energy (2024) Vol. 205, pp. 110605-110605
Closed Access
A Survey of Reinforcement Learning for Optimization in Automation
Ahmad Farooq, Kamran Iqbal
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2024), pp. 2487-2494
Open Access

Scroll to top