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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:

Daily Photovoltaic Power Prediction Enhanced by Hybrid GWO-MLP, ALO-MLP and WOA-MLP Models Using Meteorological Information
Medine Çolak, Mehmet Yeşilbudak, Ramazan Bayındır
Energies (2020) Vol. 13, Iss. 4, pp. 901-901
Open Access | Times Cited: 21

Showing 21 citing articles:

Probabilistic solar irradiance forecasting based on XGBoost
Xianglong Li, Longfei Ma, Ping Chen, et al.
Energy Reports (2022) Vol. 8, pp. 1087-1095
Open Access | Times Cited: 73
Machine learning and analytical model hybridization to assess the impact of climate change on solar PV energy production
Samuel Chukwujindu Nwokolo, Anthony Umunnakwe Obiwulu, Julie C. Ogbulezie
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 130, pp. 103389-103389
Open Access | Times Cited: 48
A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 44
Improving PV power plant forecast accuracy: A hybrid deep learning approach compared across short, medium, and long-term horizons
Delnia Sadeghi, Aminabbas Golshanfard, Shahab Eslami, et al.
Renewable energy focus (2023) Vol. 45, pp. 242-258
Closed Access | Times Cited: 32
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
Machine Learning Approaches for Short-Term Photovoltaic Power Forecasting
Shahad Mohammed Radhi, Sadeq D. Al-Majidi, Maysam Abbod, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4301-4301
Open Access | Times Cited: 4
Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting
Abdul Wadood, Hani Albalawi, Aadel M. Alatwi, et al.
Fractal and Fractional (2025) Vol. 9, Iss. 1, pp. 35-35
Open Access
Photovoltaic power prediction system based on dual-layer decomposition strategy and a novel dynamic grouping multi-objective coati optimization algorithm
Xiaole Tang, Hao Lu, Yanting Kang, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 166, pp. 110562-110562
Closed Access
A review of recent developments in the application of machine learning in solar thermal collector modelling
M. Vakili, Seyedeh Akram Salehi
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 2, pp. 2406-2439
Closed Access | Times Cited: 17
Non-destructive prediction of hazelnut and hazelnut kernel deformation energy using machine learning techniques
Mehmet Kayakuş, Önder Kabaş, İ̇lker Ünal, et al.
International Journal of Food Properties (2024) Vol. 27, Iss. 1, pp. 326-340
Open Access | Times Cited: 2
MLP-WOA Is a Successful Algorithm for Estimating Sediment Load in Kalahandi Gauge Station, India
Nihar Ranjan Mohanta, Sanjaya Kumar Panda, Ujjawal Kumar Singh, et al.
Lecture notes in networks and systems (2021), pp. 319-329
Closed Access | Times Cited: 14
The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles
Arkadiusz Małek, Andrzej Marciniak
Open Engineering (2021) Vol. 11, Iss. 1, pp. 377-389
Open Access | Times Cited: 9
Daily Prediction of PV Power Output Using Particulate Matter Parameter with Artificial Neural Networks
Erdal Irmak, Mehmet Yeşilbudak, Oğuz Taşdemır
(2023)
Closed Access | Times Cited: 3
Artificial neural network optimized by whale optimization algorithm for partial shading fault detection
Saliha Sebbane, Nabil El Akchioui
AIP conference proceedings (2023) Vol. 2814, pp. 040013-040013
Closed Access | Times Cited: 2
Time Series Forecasting for Energy Production in Stand-Alone and Tracking Photovoltaic Systems Based on Historical Measurement Data
Mateusz Sumorek, Adam Idźkowski
Energies (2023) Vol. 16, Iss. 17, pp. 6367-6367
Open Access | Times Cited: 2
Prediction of short‐term photovoltaic power via codec neural network and mode decomposition based deep learning approach
Jie Li, Runran Li, Yuanjie Jia, et al.
Energy Science & Engineering (2021) Vol. 10, Iss. 6, pp. 1794-1811
Open Access | Times Cited: 4
Evaluation of Optimisation Algorithms for the Mlp Used in the Prediction of Client Subscription to a Term Deposit
Tshegofatso Botlhoko, Tlhalitshi Volition Montshiwa
(2024)
Closed Access
A Stacking Ensemble Model Based on Nonlinear Feature Selection for Photovoltaic Power Prediction
Xin Tang, Haiqing Zhang, Daiwei Li, et al.
(2024), pp. 345-349
Closed Access
Short-term customer-centric electric load forecasting for low carbon microgrids using a hybrid model
Firuz Ahamed Nahid, Weerakorn Ongsakul, Jai Govind Singh, et al.
Energy Systems (2024)
Closed Access
ANN Training using Fireworks Algorithm and its Variants for PV Array Fault Classification
Saliha Sebbane, Nabil El Akchioui
(2022)
Closed Access | Times Cited: 2
Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction
Xiao-Zhi Gao, Lichi Gao, Hsiung‐Cheng Lin, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 7332-7332
Open Access
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