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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:

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: 26

Showing 1-25 of 26 citing articles:

Scalable energy management approach of residential hybrid energy system using multi-agent deep reinforcement learning
Zixuan Wang, Fu Xiao, Ran Yi, et al.
Applied Energy (2024) Vol. 367, pp. 123414-123414
Closed Access | Times Cited: 18
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
Sustainable development of energy, water and environment systems in the critical decade for climate action
Şiir Kılkış, Goran Krajačić, Neven Duić, et al.
Energy Conversion and Management (2023) Vol. 296, pp. 117644-117644
Closed Access | Times Cited: 26
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: 12
A hierarchical HVAC optimal control method for reducing energy consumption and improving indoor air quality incorporating soft Actor-Critic and hybrid search optimization
Can Cui, Yuntao Liu
Energy Conversion and Management (2024) Vol. 302, pp. 118118-118118
Closed Access | Times Cited: 9
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
Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model
Hamza Mubarak, Sascha Stegen, Feifei Bai, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118795-118795
Open Access | Times Cited: 9
A comprehensive review of artificial intelligence and machine learning applications in energy consumption and production
Asif Raihan
Journal of Technology Innovations and Energy (2023) Vol. 2, Iss. 4, pp. 1-26
Open Access | Times Cited: 20
Towards various occupants with different thermal comfort requirements: A deep reinforcement learning approach combined with a dynamic PMV model for HVAC control in buildings
Zekun Shi, Ruifan Zheng, Jun Zhao, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 118995-118995
Closed Access | Times Cited: 6
Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications
Mingzhe Liu, Mingyue Guo, Yangyang Fu, et al.
Applied Energy (2024) Vol. 372, pp. 123753-123753
Closed Access | Times Cited: 5
Unlocking predictive insights and interpretability in deep reinforcement learning for Building-Integrated Photovoltaic and Battery (BIPVB) systems
Yuan Gao, Zehuan Hu, Shun Yamate, et al.
Applied Energy (2025), pp. 125387-125387
Open Access
BoilerNet: Deep reinforcement learning-based combustion optimization network for pulverized coal boiler
Zhi Wang, Yongmei Yin, Guojia Yao, et al.
Energy (2025) Vol. 318, pp. 134804-134804
Closed Access
Advancing smart net-zero energy buildings with renewable energy and electrical energy storage
Dong Luo, Jia Liu, Huijun Wu, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115850-115850
Closed 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
A Novel Approach on Deep Reinforcement Learning for Improved Throughput in Power-Restricted IoT Networks
E. Sweety Bakyarani, Navneet Pratap Singh, Jyoti Shekhawat, et al.
Lecture notes in electrical engineering (2024), pp. 63-76
Closed Access | Times Cited: 4
Accelerating the low-carbon transition: Technological advancements and challenges for the sustainable development of energy, water, and environment systems
Giovanni Francesco Giuzio, Cesare Forzano, Giovanni Barone, et al.
Energy Reports (2024) Vol. 11, pp. 4676-4687
Open Access | Times Cited: 3
Dyna-PINN: Physics-informed Deep Dyna-Q Reinforcement Learning for Intelligent Control of Building Heating System in Low-Diversity Training Data Regimes
Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck
Energy and Buildings (2024) Vol. 324, pp. 114879-114879
Closed Access | Times Cited: 3
Enhancing grid stability and efficiency in buildings through forecasting and intelligent energy management of distributed energy resources
S. Senthil Kumar, C. Srinivasan, P. Sridhar
Electrical Engineering (2024)
Closed Access | Times Cited: 2
Short-term thermal parameter prediction of building energy system based on MIE-JANET method
Ruifan Zheng, Shengyuan Zhong, Rendong Shen, et al.
Energy Conversion and Management (2024) Vol. 314, pp. 118664-118664
Closed Access | Times Cited: 2
The role of advanced energy management strategies to operate flexibility sources in Renewable Energy Communities
A. Gallo, Alfonso Capozzoli
Energy and Buildings (2024) Vol. 325, pp. 115043-115043
Closed Access | Times Cited: 1
Sustainable development of energy, water and environment systems as a key opportunity for decarbonisation
Şiir Kılkış, Goran Krajačić, Neven Duić, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 118953-118953
Closed Access
Physics-consistent input convex neural network-driven reinforcement learning control for multi-zone radiant ceiling heating and cooling systems: An experimental study
Xiao Wang, Xuezheng Wang, Xuyuan Kang, et al.
Energy and Buildings (2024), pp. 115105-115105
Closed Access
A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema
Roberto Chiosa, Marco Savino Piscitelli, Marco Pritoni, et al.
Energy and Buildings (2024) Vol. 323, pp. 114802-114802
Open Access
Innovative Energy Solutions: Evaluating Reinforcement Learning Algorithms for Battery Storage Optimization in Residential Settings
Zhenlan Dou, Chunyan Zhang, Junqiang Li, et al.
Process Safety and Environmental Protection (2024)
Closed Access
Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks
Oumayma Bouchmal, Bruno Cimoli, K.A. Williams, et al.
Photonics (2024) Vol. 11, Iss. 11, pp. 1023-1023
Open Access
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