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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:

Trends and gaps in photovoltaic power forecasting with machine learning
Alba Alcañiz, Daniel Grzebyk, Hesan Ziar, et al.
Energy Reports (2022) Vol. 9, pp. 447-471
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Solar photovoltaic power prediction using artificial neural network and multiple regression considering ambient and operating conditions
Abdelhak Keddouda, Razika Ihaddadène, Ali Boukhari, et al.
Energy Conversion and Management (2023) Vol. 288, pp. 117186-117186
Closed Access | Times Cited: 58
A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine learning
Laxmikant D. Jathar, Keval Chandrakant Nikam, Umesh V. Awasarmol, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25407-e25407
Open Access | Times Cited: 30
Photovoltaic module temperature prediction using various machine learning algorithms: Performance evaluation
Abdelhak Keddouda, Razika Ihaddadène, Ali Boukhari, et al.
Applied Energy (2024) Vol. 363, pp. 123064-123064
Closed Access | Times Cited: 23
Short-term photovoltaic power forecasting with feature extraction and attention mechanisms
Wen‐Cheng Liu, Zhizhong Mao
Renewable Energy (2024) Vol. 226, pp. 120437-120437
Closed Access | Times Cited: 22
Renewable energy sources integration via machine learning modelling: A systematic literature review
Talal Alazemi, Mohamed Darwish, Mohammed Radi
Heliyon (2024) Vol. 10, Iss. 4, pp. e26088-e26088
Open Access | Times Cited: 14
Modeling of high uncertainty photovoltaic generation in quasi dynamic power flow on distribution systems: A case study in Java Island, Indonesia
Jimmy Trio Putra, Sarjiya Sarjiya, M. Isnaeni Bambang Setyonegoro
Results in Engineering (2024) Vol. 21, pp. 101747-101747
Open Access | Times Cited: 11
Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models
Rafiq Asghar, Francesco Riganti Fulginei, Michele Quercio, et al.
IEEE Access (2024) Vol. 12, pp. 90461-90485
Open Access | Times Cited: 11
An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting
Zenan Xiao, Bixuan Gao, Xiaoqiao Huang, et al.
Journal of Cleaner Production (2024) Vol. 436, pp. 140585-140585
Closed Access | Times Cited: 10
Hybrid model for intra-day probabilistic PV power forecast
Jayesh Thaker, Robert Höller
Renewable Energy (2024) Vol. 232, pp. 121057-121057
Open Access | Times Cited: 10
Effect of Saharan dust episodes on the accuracy of photovoltaic energy production forecast in Hungary (Central Europe)
György Varga, Fruzsina Gresina, József Szeberényi, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 193, pp. 114289-114289
Open Access | Times Cited: 8
Enhancing solar photovoltaic energy production prediction using diverse machine learning models tuned with the chimp optimization algorithm
Sameer Al‐Dahidi, Mohammad Alrbai, Hussein Alahmer, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Forecasting Solar Energy: Leveraging Artificial Intelligence and Machine Learning for Sustainable Energy Solutions
Taraneh Saadati, Burak Barutçu
Journal of Economic Surveys (2025)
Closed Access | Times Cited: 1
A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power
Ruoyang Zhang, Yu Wu, Lei Zhang, et al.
Energy (2025), pp. 134792-134792
Closed Access | Times Cited: 1
Research and application of a novel graph convolutional RVFL and evolutionary equilibrium optimizer algorithm considering spatial factors in ultra-short-term solar power prediction
Peng Tian, Shihao Song, Leiming Suo, et al.
Energy (2024) Vol. 308, pp. 132928-132928
Closed Access | Times Cited: 7
A Multi-Step-Ahead Photovoltaic Power Forecasting Approach Using One-Dimensional Convolutional Neural Networks and Transformer
Jihoon Moon
Electronics (2024) Vol. 13, Iss. 11, pp. 2007-2007
Open Access | Times Cited: 5
Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning
Mohd Herwan Sulaiman, Mohd Shawal Jadin, Zuriani Mustaffa, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 109948-109948
Closed Access | Times Cited: 5
A new Takagi–Sugeno–Kang model for time series forecasting
Kaike Sa Teles Rocha Alves, Caian Dutra de Jesus, Eduardo Pestana de Aguiar
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108155-108155
Closed Access | Times Cited: 4
A Comprehensive Review of Artificial Intelligence Approaches for Smart Grid Integration and Optimization
Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100724-100724
Open Access | Times Cited: 4
Dust deposition characteristics on photovoltaic arrays investigated through wind tunnel experiments
Juan Wang, Weiwei Hu, Yubing Wen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Analysis on Configuration Scheme of Power Sources in Future Power System of Korea
Hee-Sung Moon, Yoonsung Cho, Gilsoo Jang
Journal of Electrical Engineering and Technology (2025)
Closed Access
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
Desert dust and photovoltaic energy forecasts: Lessons from 46 Saharan dust events in Hungary (Central Europe)
György Varga, Fruzsina Gresina, András Gelencsér, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115446-115446
Open Access
Long-Term Photovoltaic Power Forecasting with Transformer NN
Gabriele Piantadosi, Sergio Ferlito, Sofia Dutto, et al.
Lecture notes in electrical engineering (2025), pp. 250-256
Closed Access
Distributed photovoltaic cluster output monitoring method based on time series data acquisition
Hua Ye, Xuegang Lu, Wei Zhang, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
CRAformer: a cross-residual attention transformer for solar irradiation multistep forecasting
Zongbin Zhang, Xiaoqiao Huang, Chengli Li, et al.
Energy (2025), pp. 135214-135214
Closed Access
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