OpenAlex Citation Counts

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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:

Experimental data-driven model predictive control of a hospital HVAC system during regular use
Emilio T. Maddalena, Silvio A. Müller, Rafael M. dos Santos, et al.
Energy and Buildings (2022) Vol. 271, pp. 112316-112316
Open Access | Times Cited: 23

Showing 23 citing articles:

A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model
Xin Xin, Zhihao Zhang, Yong Zhou, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 110013-110013
Closed Access | Times Cited: 17

Real-life data-driven model predictive control for building energy systems comparing different machine learning models
Phillip Stoffel, Max Berktold, Dirk Müller
Energy and Buildings (2024) Vol. 305, pp. 113895-113895
Open Access | Times Cited: 15

Evaluation of advanced control strategies for building energy systems
Phillip Stoffel, Laura Maier, Alexander Kümpel, et al.
Energy and Buildings (2022) Vol. 280, pp. 112709-112709
Open Access | Times Cited: 54

Data-driven online energy management framework for HVAC systems: An experimental study
Dafang Zhao, Daichi Watari, Yuki Ozawa, et al.
Applied Energy (2023) Vol. 352, pp. 121921-121921
Open Access | Times Cited: 22

An hour-ahead predictive control strategy for maximizing natural ventilation in passive buildings based on weather forecasting
Yibo Chen, Junxi Gao, Jianzhong Yang, et al.
Applied Energy (2023) Vol. 333, pp. 120613-120613
Closed Access | Times Cited: 17

Adaptive Data-Driven Prediction in a Building Control Hierarchy: A Case Study of Demand Response in Switzerland
Jicheng Shi, Yingzhao Lian, Christophe Salzmann, et al.
Energy and Buildings (2025), pp. 115498-115498
Open Access

Occupant-oriented demand response with multi-zone thermal building control
Moritz Frahm, Thomas Dengiz, Philipp Zwickel, et al.
Applied Energy (2023) Vol. 347, pp. 121454-121454
Open Access | Times Cited: 14

Safe operation of online learning data driven model predictive control of building energy systems
Phillip Stoffel, Patrick Henkel, Martin Rätz, et al.
Energy and AI (2023) Vol. 14, pp. 100296-100296
Open Access | Times Cited: 14

Multi-criteria evaluation of novel multi-objective model predictive control method for indoor thermal comfort
Pengmin Hua, Haichao Wang, Zichan Xie, et al.
Energy (2023) Vol. 289, pp. 129883-129883
Open Access | Times Cited: 11

Evaluation of deploying data-driven predictive controls in buildings on a large scale for greenhouse gas emission reduction
Zhipeng Deng, Xuezheng Wang, Zixin Jiang, et al.
Energy (2023) Vol. 270, pp. 126934-126934
Open Access | Times Cited: 10

Fairness-aware data-driven-based model predictive controller: A study on thermal energy storage in a residential building
Ying Sun, Fariborz Haghighat, Benjamin C. M. Fung
Journal of Energy Storage (2024) Vol. 87, pp. 111402-111402
Closed Access | Times Cited: 2

Real-time Optimal Hierarchy Control of HVAC System with Maximized Ancillary Service Support in Smart Buildings: An Experimental Approach
Manish Yadav, Ashu Verma, B.K. Panigrahi, et al.
Energy and Buildings (2024) Vol. 324, pp. 114844-114844
Closed Access | Times Cited: 2

Fault detection and diagnosis in AHU system using deep learning approach
Yanis Masdoua, Moussa Boukhnifer, Kondo H. Adjallah, et al.
Journal of the Franklin Institute (2023) Vol. 360, Iss. 17, pp. 13574-13595
Open Access | Times Cited: 5

Exploring artificial intelligence methods for energy prediction in healthcare Facilities: An In-Depth extended systematic review
Marjan FatehiJananloo, Helen Stopps, J.J. McArthur
Energy and Buildings (2024) Vol. 320, pp. 114598-114598
Open Access | Times Cited: 1

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
Loris Di Natale, Yingzhao Lian, Emilio T. Maddalena, et al.
2022 IEEE 61st Conference on Decision and Control (CDC) (2022), pp. 1111-1117
Open Access | Times Cited: 7

Model Predictive Evolutionary Temperature Control via Neural-Network-Based Digital Twins
Cihan Ates, Dogan Bicat, Radoslav Yankov, et al.
Algorithms (2023) Vol. 16, Iss. 8, pp. 387-387
Open Access | Times Cited: 2

Identifying the validity domain of machine learning models in building energy systems
Martin Rätz, Patrick Henkel, Phillip Stoffel, et al.
Energy and AI (2023) Vol. 15, pp. 100324-100324
Open Access | Times Cited: 2

Prediction of Electric Power Demand of HVACs for Operating Rooms in Case of Dynamic Set Points of Temperature: A Case Study
Tariq Inayat, Inam Ullah, Iftikhar Ahmad, et al.
Journal of Computing & Biomedical Informatics (2022) Vol. 4, Iss. 01, pp. 217-235
Open Access | Times Cited: 2

Improvement of HVAC systems based on adaptive predictive control
В. И. Соколов, Oleg Krol, Vladislav Andriichuk, et al.
E3S Web of Conferences (2023) Vol. 420, pp. 07020-07020
Open Access

Improvement of Control Processes for VAV Ventilation Systems Using MPC Controller
Manolis Pilavov, Vladislav Andriichuk, В. И. Соколов
2022 International Russian Automation Conference (RusAutoCon) (2023) Vol. 1553, pp. 8-12
Closed Access

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