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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:

Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management
Silvio Brandi, Massimo Fiorentini, Alfonso Capozzoli
Automation in Construction (2022) Vol. 135, pp. 104128-104128
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
Saman Taheri, Paniz Hosseini, Ali Razban
Journal of Building Engineering (2022) Vol. 60, pp. 105067-105067
Open Access | Times Cited: 137
Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning
Dian Zhuang, Vincent J.L. Gan, Zeynep Duygu Tekler, et al.
Applied Energy (2023) Vol. 338, pp. 120936-120936
Closed Access | Times Cited: 101
Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings
Zhengxuan Liu, Xiang Zhang, Ying Sun, et al.
Energy and Buildings (2023) Vol. 297, pp. 113436-113436
Open Access | Times Cited: 62
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
Davide Coraci, Silvio Brandi, Tianzhen Hong, et al.
Applied Energy (2023) Vol. 333, pp. 120598-120598
Open Access | Times Cited: 54
Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review
Yasaman Balali, Adrian Chong, Andrew Busch, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 183, pp. 113496-113496
Open Access | Times Cited: 52
Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system
Yuan Gao, Shanrui Shi, Shohei Miyata, et al.
Energy (2024) Vol. 291, pp. 130344-130344
Closed Access | Times Cited: 23
Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control
Alberto Silvestri, Davide Coraci, Silvio Brandi, et al.
Applied Energy (2024) Vol. 368, pp. 123447-123447
Open Access | Times Cited: 17
A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: the HiLo case study
Davide Coraci, Alberto Silvestri, Giuseppe Razzano, et al.
Energy and Buildings (2025) Vol. 329, pp. 115254-115254
Open Access | Times Cited: 2
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings
Davide Coraci, Silvio Brandi, Alfonso Capozzoli
Energy Conversion and Management (2023) Vol. 291, pp. 117303-117303
Open Access | Times Cited: 27
Machine Learning for Smart and Energy-Efficient Buildings
H. Das, Yu‐Wen Lin, Utkarsha Agwan, et al.
Environmental Data Science (2024) Vol. 3
Open Access | Times Cited: 12
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
Davide Coraci, Silvio Brandi, Tianzhen Hong, et al.
Building Simulation (2024) Vol. 17, Iss. 5, pp. 739-770
Open Access | Times Cited: 9
Recent advances in data mining and machine learning for enhanced building energy management
Xinlei Zhou, Han Du, Shan Xue, et al.
Energy (2024) Vol. 307, pp. 132636-132636
Open Access | Times Cited: 8
Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings
Xiao Wang, Xuyuan Kang, Jingjing An, et al.
Energy and Buildings (2023) Vol. 301, pp. 113696-113696
Closed Access | Times Cited: 20
An experimental evaluation of deep reinforcement learning algorithms for HVAC control
Antonio Manjavacas, Alejandro Campoy-Nieves, Javier Jiménez-Raboso, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 6
Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system
Yuan Gao, Yuki Matsunami, Shohei Miyata, et al.
Applied Energy (2022) Vol. 326, pp. 120021-120021
Open Access | Times Cited: 27
Systematic Review on Deep Reinforcement Learning-Based Energy Management for Different Building Types
Ayas Shaqour, Aya Hagishima
Energies (2022) Vol. 15, Iss. 22, pp. 8663-8663
Open Access | Times Cited: 23
A novel method of creating machine learning-based time series meta-models for building energy analysis
Guangchen Li, Wei Tian, Hu Zhang, et al.
Energy and Buildings (2022) Vol. 281, pp. 112752-112752
Closed Access | Times Cited: 23
How good are learning-based control v.s. model-based control for load shifting? Investigations on a single zone building energy system
Yangyang Fu, Shichao Xu, Qi Zhu, et al.
Energy (2023) Vol. 273, pp. 127073-127073
Closed Access | Times Cited: 15
Multi-source transfer learning method for enhancing the deployment of deep reinforcement learning in multi-zone building HVAC control
Fangli Hou, Jack C.P. Cheng, H.L. Kwok, et al.
Energy and Buildings (2024) Vol. 322, pp. 114696-114696
Closed Access | Times Cited: 5
Adaptive sliding mode and safety control for excavators using Kinematic Control Barrier Function and sliding mode disturbance observer
Weidi Huang, Qi Wang, Shu‐Wei Yang, et al.
Automation in Construction (2025) Vol. 172, pp. 106046-106046
Closed Access
LSTM and GRU type recurrent neural networks in model predictive control: A Review
Maciej Ławryńczuk, Krzysztof Zarzycki
Neurocomputing (2025), pp. 129712-129712
Open Access
Practical deployment of reinforcement learning for building controls using an imitation learning approach
Alberto Silvestri, Davide Coraci, Silvio Brandi, et al.
Energy and Buildings (2025), pp. 115511-115511
Open Access
DRL-based latency-energy offloading optimization strategy in wireless VR networks with edge computing
Jieru Wang, Hui Xia, Lijuan Xu, et al.
Computer Networks (2025), pp. 111034-111034
Closed Access
Total Cost of Ownership Prediction in Chilled Water Plants: Contributing Factors and Role of Artificial Intelligence
Rubaiath E Ulfath, Toh Yen Pang, Ivan Cole, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1618-1618
Open Access
Comparative analysis of simulation tools for developing, testing, and benchmarking advanced control algorithms in building energy management systems
Parisa Hajialigol, Amin Moazami, Mohammadreza Aghaei
Frontiers in Energy Efficiency (2025) Vol. 3
Open Access
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