OpenAlex Citation Counts

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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:

Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems
Muhammad Hamza Zafar, Noman Mujeeb Khan, Majad Mansoor, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115564-115564
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 182

State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Raniyah Wazirali, Elnaz Yaghoubi, Mohammed Shadi S. Abujazar, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109792-109792
Closed Access | Times Cited: 112

The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar
Cleaner Engineering and Technology (2023) Vol. 15, pp. 100664-100664
Open Access | Times Cited: 83

Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach
Yagang Zhang, Zhiya Pan, Hui Wang, et al.
Energy (2023) Vol. 283, pp. 129005-129005
Closed Access | Times Cited: 42

A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy
Jianzhou Wang, Yilin Zhou, He Jiang
Expert Systems with Applications (2023) Vol. 217, pp. 119539-119539
Closed Access | Times Cited: 25

Simultaneous sizing and scheduling optimization for PV-wind-battery hybrid systems with a modified battery lifetime model: A high-resolution analysis in China
Yibo Zhao, Xiao-Jian Dong, Jia-Ni Shen, et al.
Applied Energy (2024) Vol. 360, pp. 122812-122812
Closed Access | Times Cited: 12

Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks
Zhining Cao, Jianzhou Wang, Yurui Xia
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 108375-108375
Closed Access | Times Cited: 9

Review of Strategies to Mitigate Dust Deposition on Solar Photovoltaic Systems
Gowtham Vedulla, Anbazhagan Geetha, Ramalingam Senthil
Energies (2022) Vol. 16, Iss. 1, pp. 109-109
Open Access | Times Cited: 31

Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems
Muhammad Kamran Khan, Muhammad Hamza Zafar, Saad Rashid, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 945-945
Open Access | Times Cited: 21

Enhancing Photovoltaic Farm Capacity Estimation: A Comprehensive Analysis with a Novel Approach
Sayed Hamid Hosseini Dolatabadi, Alireza Soleimani, Mazdak Maghanaki, et al.
Energy Technology (2024) Vol. 12, Iss. 4
Open Access | Times Cited: 6

Combined ultra-short-term prediction method of PV power considering ground-based cloud images and chaotic characteristics
Yufei Wang, Xianzhe Wang, Deyang Hao, et al.
Solar Energy (2024) Vol. 274, pp. 112597-112597
Closed Access | Times Cited: 6

A novel network training approach for solving sample imbalance problem in wind power prediction
Anbo Meng, Zikang Xian, Hao Yin, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116935-116935
Closed Access | Times Cited: 16

Hybrid forecasting models for wind-PV systems in diverse geographical locations: Performance and power potential analysis
Majad Mansoor, Adeel Feroz Mirza, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 287, pp. 117080-117080
Closed Access | Times Cited: 14

Enhanced renewable power and load forecasting using RF-XGBoost stacked ensemble
Rita Banik, Ankur Biswas
Electrical Engineering (2024) Vol. 106, Iss. 4, pp. 4947-4967
Closed Access | Times Cited: 5

Multi-renewable energy resources parameters prediction through meta-learning models selectivity analysis and parallel fusion approaches
Muhammad Abubakar, Yanbo Che, Muhammad Shoaib Bhutta, et al.
Electrical Engineering (2025)
Closed Access

Dynamic programming-based low-carbon and economic scheduling of integrated energy system
Jin Ye, Qiling Shuai, Qingsong Hua
Energy (2025), pp. 135568-135568
Closed Access

Enhancing Grid Integration of Renewable Energy Sources for Micro grid Stability using Forecasting and Optimal Dispatch Strategies
S. Senthil Kumar, C. Srinivasan, S. Balavignesh
Energy (2025), pp. 135572-135572
Closed Access

Consideration of blind data augmentation in the improved TimeGAN Model for ultra-short-term photovoltaic power prediction
Huawei Mei, Yichen Zhao, Yang Yu
International Journal of Green Energy (2025), pp. 1-14
Closed Access

AI and Machine Learning in the Energy Sector
Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, et al.
Advances in computational intelligence and robotics book series (2025), pp. 1-26
Closed Access

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