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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:

Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour
Armand A. du Plessis, J.M. Strauss, Arnold Rix
Applied Energy (2021) Vol. 285, pp. 116395-116395
Closed Access | Times Cited: 65

Showing 26-50 of 65 citing articles:

Performance investigation and power prediction of a trifunctional heat pump system
Youhua Han, Jili Zhang, Liangdong Ma, et al.
Applied Thermal Engineering (2025), pp. 125761-125761
Closed Access
Daily power generation forecasting for a grid-connected solar power plant using transfer learning technique
Salwan Tajjour, Shyam Singh Chandel, Hasmat Malik, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Open Access
Deep learning augmented medium-term photovoltaic energy forecasting: A coupled approach using PVGIS and numerical weather model data
Muhammad Ehtsham, Marianna Rotilio, Federica Cucchiella
Energy Reports (2025) Vol. 13, pp. 4299-4317
Closed Access
Evaluation of weather research forecasting-solar radiation schemes for solar power forecasting in equatorial Africa
Dorcas Gicuku Mwigereri, Francis Xavier Ochieng, Joseph Ouma, et al.
Energy Reports (2025) Vol. 13, pp. 4318-4330
Closed Access
Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
Mohamed Massaoudi, Haitham Abu‐Rub, Shady S. Refaat, et al.
IEEE Access (2021) Vol. 9, pp. 150330-150344
Open Access | Times Cited: 30
Solar Power Forecasting Using Hybrid Deep Learning Networks Combined with Variational Mode Decomposition
K. Natarajan, Jai Govind Singh
(2025), pp. 1-20
Closed Access
Summarizing ensemble NWP forecasts for grid operators: Consistency, elicitability, and economic value
Dazhi Yang, Jan Kleissl
International Journal of Forecasting (2022) Vol. 39, Iss. 4, pp. 1640-1654
Closed Access | Times Cited: 18
A stacked ensemble forecast for photovoltaic power plants combining deterministic and stochastic methods
Simona‐Vasilica Oprea, Adela Bârã
Applied Soft Computing (2023) Vol. 147, pp. 110781-110781
Closed Access | Times Cited: 10
Multi-prediction of electric load and photovoltaic solar power in grid-connected photovoltaic system using state transition method
Hu Wang, Lei Mao, Heng Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122138-122138
Closed Access | Times Cited: 10
Improving short-term forecasting of solar power generation by using an EEMD-BiGRU model: A comparative study based on seven standalone models and six hybrid models
Lingyun Jia, Sining Yun, Zeni Zhao, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 14, pp. 3135-3158
Closed Access | Times Cited: 3
Renewable Energy MicroGrid Power Forecasting: AI Techniques with Environmental Perspective
Amanul Islam, Fazidah Othman
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
High-performance photothermal conversion of sludge derived biochar and its potential for peroxydisulfate-based advanced oxidation processes
Yun Liu, Rong Huang, Weijie Hu, et al.
Separation and Purification Technology (2022) Vol. 303, pp. 122214-122214
Closed Access | Times Cited: 12
Performance Comparison of Bayesian Deep Learning Model and Traditional Bayesian Neural Network in Short-Term PV Interval Prediction
Kaiyan Wang, Haodong Du, Rong Jia, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12683-12683
Open Access | Times Cited: 11
Forecasting of short-term PV production in energy communities through Machine Learning and Deep Learning algorithms
Nikos Dimitropoulos, Nikolaos Sofias, Panagiotis Kapsalis, et al.
(2021), pp. 1-6
Open Access | Times Cited: 14
Forecasting and Prediction of Solar Energy Generation using Machine Learning Techniques
Ali Jassim Lari
(2024)
Open Access | Times Cited: 1
Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications
Liwenbo Zhang, Robin Wilson, Mark Sumner, et al.
Applied Energy (2024) Vol. 377, pp. 124353-124353
Open Access | Times Cited: 1
Data-Driven Analytics for Reliability in the Buildings-to-Grid Integrated System Framework: A Systematic Text-Mining-Assisted Literature Review and Trend Analysis
Athanasios Bachoumis, C. Mylonas, Konstantinos Plakas, et al.
IEEE Access (2023) Vol. 11, pp. 130763-130787
Open Access | Times Cited: 3
Two-Stage Optimization Model of Centralized Energy Storage Participating in Peak Shaving with Maximum Reserve Capacity and Minimum Carbon Emission of the System
Zhiyao Zhang, Jingjie Huang, Nianguang Zhou, et al.
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 2
The role of computational intelligence techniques in the advancements of solar photovoltaic systems for sustainable development: a review
Ranganai Tawanda Moyo, Mendon Dewa
Renewable Energy and Sustainable Development (2022) Vol. 8, Iss. 2, pp. 52-52
Open Access | Times Cited: 4
Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Closed Access | Times Cited: 5
Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model
Sundeep Siddula, G.K. Prashanth, Praful V. Nandankar, et al.
International Journal of Photoenergy (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 3
Comparing the Performance of Pivotless Tracking and Fixed-Type Floating Solar Power Systems
Hongsub Jee, Yohan Noh, Minwoo Kim, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12926-12926
Open Access | Times Cited: 3
Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-7
Closed Access | Times Cited: 4
Evaluating Machine Learning Models for Multimodal Probability-Based Energy Forecasting
Vijaya Bhaskar Sadu, Rajesh Kumar, B. Srinivasa Kumar, et al.
Process Integration and Optimization for Sustainability (2024) Vol. 8, Iss. 4, pp. 1209-1222
Closed Access
Transient Stability Analysis for Grid-Connected Renewable Power Generation Systems Based on LMI Optimization Modelling
Wenzuo Tang, Bo Li, Shuaicheng Hou, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 5052-5052
Open Access

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