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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:

One-Day-Ahead Solar Irradiation and Windspeed Forecasting with Advanced Deep Learning Techniques
Konstantinos Blazakis, Yiannis A. Katsigiannis, G.S. Stavrakakis
Energies (2022) Vol. 15, Iss. 12, pp. 4361-4361
Open Access | Times Cited: 18

Showing 18 citing articles:

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Celal Çakıroğlu, Sercan Demir, Mehmet Hakan Özdemir, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121464-121464
Closed Access | Times Cited: 76
Deep learning-based multistep ahead wind speed and power generation forecasting using direct method
Maryam Yaghoubirad, Narjes Azizi, Meisam Farajollahi, et al.
Energy Conversion and Management (2023) Vol. 281, pp. 116760-116760
Closed 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: 36
Advancing short-term solar irradiance forecasting accuracy through a hybrid deep learning approach with Bayesian optimization
Reagan Jean Jacques Molu, Bhaskar Tripathi, Wulfran Fendzi Mbasso, et al.
Results in Engineering (2024) Vol. 23, pp. 102461-102461
Open Access | Times Cited: 17
Towards smart energy management for community microgrids: Leveraging deep learning in probabilistic forecasting of renewable energy sources
Jhon J. Quiñones, Luis R. Pineda, Jason K. Ostanek, et al.
Energy Conversion and Management (2023) Vol. 293, pp. 117440-117440
Open Access | Times Cited: 26
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Whei-Min Lin, et al.
(2023)
Open Access | Times Cited: 13
A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation
Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5436-5436
Open Access | Times Cited: 13
A Review of State-of-the-art and Short-Term Forecasting Models for Solar PV Power Generation
Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong, et al.
(2023)
Open Access | Times Cited: 11
One-Day-Ahead Wind Speed Forecasting Based on Advanced Deep and Hybrid Quantum Machine Learning
Konstantinos Blazakis, Yiannis A. Katsigiannis, Nikolaos Schetakis, et al.
(2024), pp. 155-168
Closed Access | Times Cited: 3
Harnessing machine learning for sustainable futures: advancements in renewable energy and climate change mitigation
Kingsley Ukoba, Oluwatayo Racheal Onisuru, Tien‐Chien Jen
Bulletin of the National Research Centre/Bulletin of the National Research Center (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 2
A Forecasting Model of Wind Power Based on IPSO–LSTM and Classified Fusion
Qiuhong Huang, Xiao Wang
Energies (2022) Vol. 15, Iss. 15, pp. 5531-5531
Open Access | Times Cited: 11
Towards Automated Model Selection for Wind Speed and Solar Irradiance Forecasting
Konstantinos Blazakis, Nikolaos Schetakis, P. Bonfini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 5035-5035
Open Access | Times Cited: 1
Photovoltaic power forecasting: A Transformer based framework
Gabriele Piantadosi, Sofia Dutto, Antonio Galli, et al.
Energy and AI (2024), pp. 100444-100444
Open Access | Times Cited: 1
An innovative malware detection methodology employing the amalgamation of stacked BiLSTM and CNN + LSTM ‐based classification networks with the assistance of Mayfly metaheuristic optimization algorithm in cyber‐attack
Sathiyandrakumar Srinivasan, P. Deepalakshmi
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 10
Closed Access | Times Cited: 4
Recursive Blind Forecasting of Photovoltaic Generation and Consumer Load for Microgrids
Aditya Sundararajan, Mohammed M. Olama, Maximiliano Ferrari, et al.
(2023), pp. 1-5
Open Access | Times Cited: 2
Comparison of Echo State Network with ANN-Based Forecasting Model for Solar Power Generation Forecasting
Shashikant, Binod Shaw, Jyoti Ranjan Nayak
Lecture notes in electrical engineering (2024), pp. 133-144
Closed Access
Explore actual sustainable energy topics by using Yake!, Krovetz, GSDMM and short text summaries
Boris Chigarev
(2023)
Open Access
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