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:

A state-of-the-art review of artificial intelligence techniques for short-term electric load forecasting
Kasım Zor, Oğuzhan Timur, Ahmet Teke
(2017), pp. 1-7
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
Ioannis Antonopoulos, Valentin Robu, Benoit Couraud, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 130, pp. 109899-109899
Open Access | Times Cited: 439
Machine learning technology in biodiesel research: A review
Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei, et al.
Progress in Energy and Combustion Science (2021) Vol. 85, pp. 100904-100904
Closed Access | Times Cited: 335
Deep Learning-Based Interval State Estimation of AC Smart Grids Against Sparse Cyber Attacks
Huaizhi Wang, Jiaqi Ruan, Guibin Wang, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 14, Iss. 11, pp. 4766-4778
Closed Access | Times Cited: 217
A Review on Application of Artificial Intelligence Techniques in Microgrids
Ebrahim Mohammadi, Mojtaba Alizadeh, Mohsen Asgarimoghaddam, et al.
IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2022) Vol. 3, Iss. 4, pp. 878-890
Closed Access | Times Cited: 90
Renewable Revolution: A Review of Strategic Flexibility in Future Power Systems
Sulman Shahzad, Elżbieta Jasińska
Sustainability (2024) Vol. 16, Iss. 13, pp. 5454-5454
Open Access | Times Cited: 28
Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
Niyi B. Ishola, Emmanuel I. Epelle, Eriola Betiku
Energy Conversion and Management X (2024) Vol. 23, pp. 100669-100669
Open Access | Times Cited: 15
How to model European electricity load profiles using artificial neural networks
Christian Behm, Lars Nolting, Aaron Praktiknjo
Applied Energy (2020) Vol. 277, pp. 115564-115564
Open Access | Times Cited: 69
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment
Muhammad Adnan Khan, Ahmed Mohammed Saleh, Muhammad Waseem, et al.
IEEE Access (2022) Vol. 11, pp. 1477-1505
Open Access | Times Cited: 62
Investigating photovoltaic solar power output forecasting using machine learning algorithms
Yusuf Essam, Ali Najah Ahmed, Rohaini Ramli, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 2002-2034
Open Access | Times Cited: 61
Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence‐based methods
Haochen Hua, Zhiqian Wei, Yuchao Qin, et al.
IET Cyber-Physical Systems Theory & Applications (2021) Vol. 6, Iss. 2, pp. 63-79
Open Access | Times Cited: 58
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Yusuf Essam, Yuk Feng Huang, Jing Lin Ng, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
Yusuf Essam, Yuk Feng Huang, Ahmed H. Birima, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 47
Improving the accuracy of multi-step prediction of building energy consumption based on EEMD-PSO-Informer and long-time series
Feiyu Li, Zhibo Wan, Thomas Koch, et al.
Computers & Electrical Engineering (2023) Vol. 110, pp. 108845-108845
Closed Access | Times Cited: 24
Systematic Review of Electricity Demand Forecast Using ANN-Based Machine Learning Algorithms
A. Román, Martín López‐Nores, José J. Pazos‐Arias
Sensors (2021) Vol. 21, Iss. 13, pp. 4544-4544
Open Access | Times Cited: 46
Review of peak load management strategies in commercial buildings
Darwish Darwazeh, Jean Duquette, Burak Gunay, et al.
Sustainable Cities and Society (2021) Vol. 77, pp. 103493-103493
Closed Access | Times Cited: 45
Smart Grid Cyber Security Enhancement: Challenges and Solutions—A Review
Turki Alsuwian, Aiman Shahid Butt, Arslan Ahmed Amin
Sustainability (2022) Vol. 14, Iss. 21, pp. 14226-14226
Open Access | Times Cited: 33
Machine Learning Methods for Fault Diagnosis in AC Microgrids: A Systematic Review
Muiz M. Zaben, Muhammed Y. Worku, Mohamed A. Hassan, et al.
IEEE Access (2024) Vol. 12, pp. 20260-20298
Open Access | Times Cited: 6
Nexus among artificial intelligence implementation, healthcare social innovation, and green image of hospitals’ operations management in Egypt
Heba Mohamed Adel, Mennatallah Khaled, Mohamed A Fahmy Zeid Ahmed Mostafa Yehya, et al.
Cleaner Logistics and Supply Chain (2024) Vol. 11, pp. 100156-100156
Open Access | Times Cited: 5
Using deep learning for short-term load forecasting
Nadjib Mohamed Mehdi Bendaoud, Nadir Farah
Neural Computing and Applications (2020) Vol. 32, Iss. 18, pp. 15029-15041
Closed Access | Times Cited: 45
Interrelationships between urban travel demand and electricity consumption: a deep learning approach
Ali Movahedi, Amir Bahador Parsa, Anton Rozhkov, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review
Sriranga Suprabhath Koduru, M. Prasad, Sreedhar Madichetty
Energies (2023) Vol. 16, Iss. 12, pp. 4573-4573
Open Access | Times Cited: 13
Predicting Oil Temperature in Electrical Transformers Using Neural Hierarchical Interpolation
Abdeltif Boujamza, Saâd Lissane Elhaq
Journal of Engineering (2025) Vol. 2025, Iss. 1
Open Access
Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism
Mingfei Zhang, Zhoutao Yu, Zhenghua Xu
IEEE Access (2020) Vol. 8, pp. 186514-186529
Open Access | Times Cited: 32
A Weekly Load Data Mining Approach Based on Hidden Markov Model
Shixiang Lü, Guoying Lin, Hanlin Liu, et al.
IEEE Access (2019) Vol. 7, pp. 34609-34619
Open Access | Times Cited: 32
Page 1 - Next Page

Scroll to top