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 26-50 of 49 citing articles:

Novel Machine Learning Paradigms-Enabled Methods for Smart Building Operations in Data-Challenging Contexts: Progress and Perspectives
Fan Cheng, Yutian Lei, Jinhan Mo, et al.
National Science Open (2024) Vol. 3, Iss. 3, pp. 20230068-20230068
Open Access | Times Cited: 1
A smart home energy management system based on human activity recognition and deep reinforcement learning
Zhouwen Wu, Xia Chen, Yujun Lin, et al.
Energy and Buildings (2024) Vol. 325, pp. 114951-114951
Closed Access | Times Cited: 1
Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering
Vahid Asghari, Mohammad Hossein Kazemi, Mohammadsadegh Shahrokhishahraki, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102215-102215
Closed Access | Times Cited: 4
A Transfer Learning Strategy for Improving the Data Efficiency of Deep Reinforcement Learning Control in Smart Buildings
Kadir Amasyali, Yan Liu, Helia Zandi
(2024) Vol. 241, pp. 1-5
Closed Access | Times Cited: 1
A Modular Python Framework for Rapid Development of Advanced Control Algorithms for Energy Systems
Steffen Eser, Thomas Storek, Fabian Wüllhorst, et al.
(2024)
Closed Access | Times Cited: 1
An adaptive switching control model for air conditioning systems based on information completeness
Yan Ding, Haozheng Zhang, Xiaochen Yang, et al.
Applied Energy (2024) Vol. 375, pp. 124004-124004
Closed Access | Times Cited: 1
Deep reinforcement learning control for co-optimizing energy consumption, thermal comfort, and indoor air quality in an office building
Fangzhou Guo, Sang woo Ham, Donghun Kim, et al.
Applied Energy (2024) Vol. 377, pp. 124467-124467
Closed Access | Times Cited: 1
Energy performance evaluation of the ASHRAE Guideline 36 control and reinforcement learning–based control using field measurements
Yeobeom Yoon, Kadir Amasyali, Yanfei Li, et al.
Energy and Buildings (2024) Vol. 325, pp. 115005-115005
Closed Access | Times Cited: 1
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
Comparing simulated demand flexibility against actual performance in commercial office buildings
Rongxin Yin, Jingjing Liu, Mary Ann Piette, et al.
Building and Environment (2023) Vol. 243, pp. 110663-110663
Open Access | Times Cited: 2
Tracking spatial patterns and nocturnal arousal in an undisturbed natural population of the pulse-type weakly electric fish Gymnotus omarorum
Adriana Migliaro, Federico Pedraja, Stefan Mucha, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Enhancing Self-Consumption Ratio in a Smart Microgrid by Applying a Reinforcement Learning-Based Energy Management System
Parisa Hajaligol, Kingsley Nweye, Mohammadreza Aghaei, et al.
(2024)
Closed Access
Activating and Enhancing the Energy Flexibility Provided by the Pipe-Embedded Building Envelope: A Review
Xiaochen Yang, Ruizhi Wang, Yan Ding, et al.
(2024)
Closed Access
A Learning-Based Model Predictive Control Method for Unlocking the Potential of Building Energy Flexibility
Jie Zhu, Jide Niu, Sicheng Zhan, et al.
(2024)
Closed Access
Reinforcement Learning in Building Energy Management: Challenges and Future Directions
Zoltán Nagy
(2024)
Closed Access
Exploring Deep Reinforcement Learning Algorithms for Enhanced HVAC Control
Antonio Manjavacas, Alejandro Campoy-Nieves, Miguel Molina-Solana, et al.
Advances in intelligent systems and computing (2024), pp. 273-280
Closed Access
Reinforcement learning for occupant behavior modeling in public buildings: why, what and how?
Hao Yu, Xiaoxiao Xu
Journal of Building Engineering (2024) Vol. 96, pp. 110491-110491
Closed Access
Coordinated price-based control of modulating heat pumps for practical demand response and peak shaving in building clusters
Felix Langner, Jovana Kovačević, Philipp Zwickel, et al.
Energy and Buildings (2024), pp. 114940-114940
Open Access
Sinergym – A virtual testbed for building energy optimization with Reinforcement Learning
Alejandro Campoy-Nieves, Antonio Manjavacas, Javier Jiménez-Raboso, et al.
Energy and Buildings (2024) Vol. 327, pp. 115075-115075
Open Access
Enhancing Energy Efficiency and Flexibility in Educational Buildings Through a Deep Reinforcement Learning-Based Controller for Rooftop Units
Silvio Brandi, Andrea Pizza, Giacomo Buscemi, et al.
Lecture notes in civil engineering (2024), pp. 51-57
Closed Access
A Novel CALA-STL algorithm for optimizing prediction of building energy heat load
Yan Guo, Mengjing Jia, Chang Su, et al.
Energy and Buildings (2024), pp. 115207-115207
Closed Access
CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities
Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, et al.
(2023), pp. 274-275
Open Access | Times Cited: 1
TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning
Mostafa Meimand, Vanshaj Khattar, Zahra Yazdani, et al.
(2023), pp. 265-268
Open Access
Physics-informed model-based reinforcement learning (PI-MBRL) to control building heating systems in low training data regimes
Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck
(2023), pp. 300-302
Closed Access
Reinforcement Learning-Based Energy Management System for Optimal Distributed Energy Resources Control Policies in Smart Microgrids
Parisa Hajaligol, Kingsley Nweye, Mohammadreza Aghaei, et al.
(2023)
Closed Access
Previous Page - Page 2

Scroll to top