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:
Deep reinforcement learning with planning guardrails for building energy demand response
Doseok Jang, Lucas Spangher, Selvaprabu Nadarajah, et al.
Energy and AI (2022) Vol. 11, pp. 100204-100204
Open Access | Times Cited: 7
Doseok Jang, Lucas Spangher, Selvaprabu Nadarajah, et al.
Energy and AI (2022) Vol. 11, pp. 100204-100204
Open Access | Times Cited: 7
Showing 7 citing articles:
Variational quantum circuit based demand response in buildings leveraging a hybrid quantum-classical strategy
Akshay Ajagekar, Fengqi You
Applied Energy (2024) Vol. 364, pp. 123244-123244
Closed Access | Times Cited: 7
Akshay Ajagekar, Fengqi You
Applied Energy (2024) Vol. 364, pp. 123244-123244
Closed Access | Times Cited: 7
An Explainable AI-Based Demand Response Optimization Framework for Smart Buildings
Muhammad Ibrar, Hayla Nahom Abishu, Abegaz Mohammed Seid, et al.
Lecture notes in networks and systems (2025), pp. 88-98
Closed Access
Muhammad Ibrar, Hayla Nahom Abishu, Abegaz Mohammed Seid, et al.
Lecture notes in networks and systems (2025), pp. 88-98
Closed Access
Demand Response in Buildings: A Comprehensive Overview of Current Trends, Approaches, and Strategies
Ružica Jurjević, Tea Žakula
Buildings (2023) Vol. 13, Iss. 10, pp. 2663-2663
Open Access | Times Cited: 11
Ružica Jurjević, Tea Žakula
Buildings (2023) Vol. 13, Iss. 10, pp. 2663-2663
Open Access | Times Cited: 11
Dynamic customer demand management: A reinforcement learning model based on real-time pricing and incentives
Eduardo Salazar, Mauricio E. Samper, H. Daniel Patiño
Renewable energy focus (2023) Vol. 46, pp. 39-56
Closed Access | Times Cited: 10
Eduardo Salazar, Mauricio E. Samper, H. Daniel Patiño
Renewable energy focus (2023) Vol. 46, pp. 39-56
Closed Access | Times Cited: 10
DisruptionBench: A robust benchmarking framework for machine learning-driven disruption prediction
Spangher Lucas, Matteo Bonotto, William A. Arnold, et al.
Research Square (Research Square) (2024)
Open Access
Spangher Lucas, Matteo Bonotto, William A. Arnold, et al.
Research Square (Research Square) (2024)
Open Access
Real Data-Driven Demand Forecasting and Clustering for Price Planning
Jawana Gabrielski, Ulf Häger, Eduardo Salazar, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2024), pp. 1-5
Closed Access
Jawana Gabrielski, Ulf Häger, Eduardo Salazar, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2024), pp. 1-5
Closed Access
Deep Reinforcement Learning Environment Approach Based on Nanocatalyst XAS Diagnostics Graphic Formalization
Dmitry S. Polyanichenko, Bogdan O. Protsenko, Nikita V. Egil, et al.
Materials (2023) Vol. 16, Iss. 15, pp. 5321-5321
Open Access
Dmitry S. Polyanichenko, Bogdan O. Protsenko, Nikita V. Egil, et al.
Materials (2023) Vol. 16, Iss. 15, pp. 5321-5321
Open Access
