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:

Machine learning-based demand response in PV-based smart home considering energy management in digital twin
Jueru Huang, Dmitry D. Koroteev, Marina Rynkovskaya
Solar Energy (2023) Vol. 252, pp. 8-19
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A deep learning model for intelligent home energy management system using renewable energy
Sami Ben Slama, Marwan Mahmoud
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106388-106388
Closed Access | Times Cited: 28

Economic impact of digital twins on renewable energy investments
Kelvin Edem Bassey, Jesse Opoku-Boateng, Bernard Owusu Antwi, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 7, pp. 2232-2247
Open Access | Times Cited: 10

From BIM to digital twin in BIPV: A review of current knowledge
Wanting Wang, Kaiyan Xu, Shenghui Song, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 67, pp. 103855-103855
Open Access | Times Cited: 8

Towards Resilient Energy Infrastructures: A Comprehensive Review on the Role of Demand Response in Smart Grids
K H Akhila, Anju S. Pillai, Krishna Priya R, et al.
Sustainable Energy Technologies and Assessments (2025) Vol. 74, pp. 104170-104170
Closed Access

Exploring the role of energy Communities: A comprehensive review
Muhammad Amin, Renato Procopio, Marco Invernizzi, et al.
Energy Conversion and Management X (2025), pp. 100883-100883
Open Access

Smart energy management for revenue optimization and grid independence in an Indian RDS
T. Yuvaraj, M. Thirumalai, M. Dharmalingam, et al.
Energy Conversion and Management X (2025), pp. 100955-100955
Open Access

Analysing the synergies between Multi-agent Systems and Digital Twins: A systematic literature review
Elena Pretel, Alejandro Moya, Elena Navarro, et al.
Information and Software Technology (2024) Vol. 174, pp. 107503-107503
Open Access | Times Cited: 4

Levenberg-Marquardt algorithm-based solar PV energy integrated internet of home energy management system
Md. Rokonuzzaman, Saifur Rahman, M. A. Hannan, et al.
Applied Energy (2024) Vol. 378, pp. 124407-124407
Open Access | Times Cited: 3

The Use of Digital Twins to Address Smart Tourist Destinations’ Future Challenges
Lázaro Florido-Benítez
Platforms (2024) Vol. 2, Iss. 4, pp. 234-254
Open Access | Times Cited: 2

Machine Learning-Based Cost-Effective Smart Home Data Analysis and Forecasting for Energy Saving
Sanguk Park
Buildings (2023) Vol. 13, Iss. 9, pp. 2397-2397
Open Access | Times Cited: 4

Leveraging the Synergy of Digital Twins and Artificial Intelligence for Sustainable Power Grids: A Scoping Review
A.S.R.A. Ranawaka, Damminda Alahakoon, Yuan Sun, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5342-5342
Open Access | Times Cited: 1

A Novel Double-Layer Strategy for Three-Phase Imbalance Treatment Using an Improved Genetic Algorithm Based on MIT-LXPM
Wang Jing, Kaipei Liu, Liang Qin, et al.
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 6, pp. 7404-7416
Closed Access | Times Cited: 2

Optimizing real-time demand response in smart homes through fuzzy-based energy management and control system
İzviye Fatıma Tepe, Erdal Irmak
Electrical Engineering (2024)
Closed Access

Predicting Building Energy Consumption Using Machine Learning-Based Methods
Sina Taherinasab, Katayun Rahmati, Zahra Ghajar, et al.
(2024)
Closed Access

Intelligent learning approaches for demand-side controller for BIPV-integrated buildings
Zhengxuan Liu, Linfeng Zhang, Shaojun Wang
Elsevier eBooks (2024), pp. 205-233
Closed Access

Digital twin technology in solar energy
Mohammadreza Aghaei, Mohammad Kolahi, Sayyed Majid Esmailifar, et al.
Elsevier eBooks (2024), pp. 191-212
Closed Access

New Trends for Machine Learning Applications in Future Power Systems
Mohammad Mehdi Amiri, Ali Jalilian, Hamdi Abdi, et al.
Power systems (2024), pp. 89-114
Closed Access

HEMS-IoT: Smart Home Energy Saving with Big Data and Machine Learnings
B. T. Geetha, Pyla Lova, I. E. S. Naidu, et al.
(2024), pp. 400-404
Closed Access

Improved Low-Cost Home Energy Management Considering User Preferences with Photovoltaic and Energy-Storage Systems
Nedim Tutkun, Luigi Scarcello, Carlo Mastroianni
Sustainability (2023) Vol. 15, Iss. 11, pp. 8739-8739
Open Access | Times Cited: 1

Special Issue on Digital twin technology applications toward reliable, resilient, and sustainable solar energy
Morteza Dabbaghjamanesh, Zhao Yang Dong, Abdollah Kavousi-Far, et al.
Solar Energy (2023) Vol. 263, pp. 111936-111936
Open Access | Times Cited: 1

Intelligent System for Monitoring and Controlling the Energy Consumed
Cosmin-George Nicolăescu, Florentina Magda Enescu, Nicu Bizon, et al.
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2023), pp. 1-6
Closed Access

Multi-agent system implementation in demand response: A literature review and bibliometric evaluation
Benjamin Oluwamuyiwa Olorunfemi, Nnamdi Nwulu
AIMS energy (2023) Vol. 11, Iss. 6, pp. 1179-1210
Open Access

Battery scheduling models in smart buildings: a systematic literature review
Júlia Possebon Spellmeier, Carmen Brum Rosa, Luís Gomes, et al.
(2023), pp. 1-5
Closed Access

Page 1 - Next Page

Scroll to top