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:

Ten questions concerning reinforcement learning for building energy management
Zoltán Nagy, Gregor P. Henze, Sourav Dey, et al.
Building and Environment (2023) Vol. 241, pp. 110435-110435
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

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: 46
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
Scientometric mapping of global research on the environmental performance of existing buildings: Advancements, challenges and prospects
Ping Guo, Jiwei Zhu, Jun Wang, et al.
Journal of Cleaner Production (2025), pp. 144774-144774
Closed Access | Times Cited: 1
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
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
Field demonstration of predictive heating control for an all-electric house in a cold climate
Elias N. Pergantis, Priyadarshan Priyadarshan, Nadah Al Theeb, et al.
Applied Energy (2024) Vol. 360, pp. 122820-122820
Open Access | Times Cited: 9
Model predictive control for demand flexibility of a residential building with multiple distributed energy resources
Pascal Strauch, Weimin Wang, Felix Langner
Energy and Buildings (2024) Vol. 305, pp. 113884-113884
Closed Access | Times Cited: 8
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
Fabio Pavirani, Gargya Gokhale, Bert Claessens, et al.
Energy and Buildings (2024) Vol. 311, pp. 114161-114161
Open Access | Times Cited: 6
Personalized federated learning for cross-building energy knowledge sharing: Cost-effective strategies and model architectures
Cheng Fan, Ruikun Chen, Jinhan Mo, et al.
Applied Energy (2024) Vol. 362, pp. 123016-123016
Closed Access | Times Cited: 5
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
A learning-based model predictive control method for unlocking the potential of building energy flexibility
Jie Zhu, Jide Niu, Sicheng Zhan, et al.
Energy and Buildings (2025), pp. 115299-115299
Closed Access
Adaptive Reinforcement Learning for Energy Management – A progressive approach to boost climate resilience and energy flexibility
Vahid M. Nik, Kavan Javanroodi
Advances in Applied Energy (2025), pp. 100213-100213
Open Access
Analyzing the overrated performance of model-based predictive control and energy saving strategies in building energy management: A Review
Abu Talib, Jaewan Joe
Journal of Building Engineering (2025), pp. 111909-111909
Closed Access
The Use of Artificial Intelligence Technologies in Energy and Climate Security
Igbal А. Guliev, A. Mammadov, K. Ibrahimli
Review of Business and Economics Studies (2025) Vol. 12, Iss. 4, pp. 58-71
Open Access
Tracking spatial patterns and daily modulation of behavior in a natural population of the pulse-type weakly electric fish, Gymnotus omarorum
Adriana Migliaro, Federico Pedraja, Stefan Mucha, et al.
iScience (2025) Vol. 28, Iss. 3, pp. 112018-112018
Open Access
Towards intelligent management of regional building energy systems: A framework combined with deep reinforcement learning for hybrid energy storage
Rendong Shen, Ruifan Zheng, Dongfang Yang, et al.
Energy Conversion and Management (2025) Vol. 329, pp. 119656-119656
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 personal touch to demand response: An occupant-centric control strategy for HVAC systems using personalized comfort models
Mostafa Meimand, Farrokh Jazizadeh
Energy and Buildings (2023) Vol. 303, pp. 113769-113769
Open Access | Times Cited: 11
Energy management of buildings with energy storage and solar photovoltaic: A diversity in experience approach for deep reinforcement learning agents
Akhtar Hussain, Petr Musı́lek
Energy and AI (2023) Vol. 15, pp. 100313-100313
Open Access | Times Cited: 10
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
CIRLEM: a synergic integration of Collective Intelligence and Reinforcement learning in Energy Management for enhanced climate resilience and lightweight computation
Vahid M. Nik, Mohammad Hosseini
Applied Energy (2023) Vol. 350, pp. 121785-121785
Open Access | Times Cited: 9
Living laboratories can and should play a greater role to unlock flexibility in United States commercial buildings
Jacques A. de Chalendar, Aditya Keskar, Jeremiah X. Johnson, et al.
Joule (2023) Vol. 8, Iss. 1, pp. 13-28
Closed Access | Times Cited: 9
Reinforcement learning in building controls: A comparative study of algorithms considering model availability and policy representation
Ziyan Wu, Wenhao Zhang, Rui Tang, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109497-109497
Open Access | Times Cited: 2
CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, et al.
Journal of Building Performance Simulation (2024), pp. 1-22
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top