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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:

Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance
Diego J. Pedregal, Juan R. Trapero
Applied Energy (2021) Vol. 298, pp. 117155-117155
Closed Access | Times Cited: 23

Showing 23 citing articles:

Hybrid energy system integration and management for solar energy: A review
Tolulope Olumuyiwa Falope, Liyun Lao, Dawid P. Hanak, et al.
Energy Conversion and Management X (2024) Vol. 21, pp. 100527-100527
Open Access | Times Cited: 49
Explainable spatiotemporal multi-task learning for electric vehicle charging demand prediction
Yitong Shang, Duo Li, Yang Li, et al.
Applied Energy (2025) Vol. 384, pp. 125460-125460
Closed Access | Times Cited: 3
Condition monitoring of wind turbine blades based on self-supervised health representation learning: A conducive technique to effective and reliable utilization of wind energy
Shilin Sun, Tianyang Wang, Hongxing Yang, et al.
Applied Energy (2022) Vol. 313, pp. 118882-118882
Closed Access | Times Cited: 54
Review on the Application of Photovoltaic Forecasting Using Machine Learning for Very Short- to Long-Term Forecasting
Putri Nor Liyana Mohamad Radzi, Muhammad Naveed Akhter, Saad Mekhilef, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 2942-2942
Open Access | Times Cited: 34
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: 12
Enhancing solar irradiance prediction for sustainable energy solutions employing a hybrid machine learning model; improving hydrogen production through Photoelectrochemical device
Yandi Zhang
Applied Energy (2025) Vol. 382, pp. 125280-125280
Closed Access | Times Cited: 1
A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
Naima El-Amarty, Manal Marzouq, Hakim El Fadili, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 5407-5439
Closed Access | Times Cited: 37
FCDT-IWBOA-LSSVR: An innovative hybrid machine learning approach for efficient prediction of short-to-mid-term photovoltaic generation
Liang Lu, Tiecheng Su, Yuxiang Gao, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135716-135716
Closed Access | Times Cited: 31
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations
Maneesha Perera, Julian de Hoog, Kasun Bandara, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117690-117690
Open Access | Times Cited: 30
De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure
Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122169-122169
Closed Access | Times Cited: 18
A hybrid deep learning framework integrating feature selection and transfer learning for multi-step global horizontal irradiation forecasting
Tong Niu, Jinkai Li, Wei Wei, et al.
Applied Energy (2022) Vol. 326, pp. 119964-119964
Open Access | Times Cited: 25
A satellite-based novel method to forecast short-term (10 min − 4 h) solar radiation by combining satellite-based cloud transmittance forecast and physical clear-sky radiation model
Bing Hu, Huaiyong Shao, Changkun Shao, et al.
Solar Energy (2025) Vol. 290, pp. 113376-113376
Closed Access
ELFNet: An Effective Electricity Load Forecasting Model Based on a Deep Convolutional Neural Network with a Double-Attention Mechanism
Zhao Pei, Guang Ling, Xiang‐Xiang Song
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6270-6270
Open Access | Times Cited: 3
A Three-Step Weather Data Approach in Solar Energy Prediction Using Machine Learning
Tolulope Olumuyiwa Falope, Liyun Lao, Dawid P. Hanak
Renewable energy focus (2024) Vol. 50, pp. 100615-100615
Open Access | Times Cited: 2
Evaluation of performance for day-ahead solar irradiance forecast using numerical weather prediction
Weijing Dou, Kai Wang, Shuo Shan, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 4
Closed Access | Times Cited: 2
A case study of NeuralProphet and nonlinear evaluation for high accuracy prediction in short-term forecasting in PV solar plant
Ricardo Manuel Arias Velásquez
Heliyon (2022) Vol. 8, Iss. 9, pp. e10639-e10639
Open Access | Times Cited: 11
Low and medium voltage distribution network planning with distributed energy resources: a survey
Tan Nhat Pham, Rakibuzzaman Shah, Minh N. Dao, et al.
Electrical Engineering (2024)
Open Access | Times Cited: 1
A Unique Three-Step Weather Data Approach in Solar Energy Prediction Using Machine Learning
Tolulope Olumuyiwa Falope, Liyun Lao, Dawid P. Hanak
(2022)
Open Access | Times Cited: 3
Low and Medium Voltage Distribution Network Planning with Distributed Energy Resources: A Survey
Tan Nhat Pham, Rakibuzzaman Shah, Minh N. Dao, et al.
Research Square (Research Square) (2024)
Open Access
A Satellite-Based Novel Method to Improve Short-Term (10min-4 H) Forecast Accuracy of Solar Radiation by Combining Physical Retrieval Algorithm and Deep Learning
Bing Hu, Huaiyong Shao, Changkun Shao, et al.
(2024)
Closed Access
Day-Ahead PV Power Forecasting for Control Applications
Mirhan Urkmez, Carsten Skovmose Kallesøe, Jan Dimon Bendtsen, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2022), pp. 1-6
Open Access | Times Cited: 2
Optimization of Solar PV Power Forecasting Using Bootstrap Techniques and the Feed-Forward Neural Network Model
Eliseo Zarate-Perez, Mariana Palumbo, Ana da Motta, et al.
Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions” (2022)
Open Access
Traffic Density Prediction using IoT-based Double Exponential Smoothing
Rosa Andrie Asmara, Noprianto Noprianto, Muhammad Ainur Ilmy, et al.
Knowledge Engineering and Data Science (2022) Vol. 5, Iss. 2, pp. 168-168
Open Access
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