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:

Time series forecasting of solar power generation for large-scale photovoltaic plants
Hussein Sharadga, Shima Hajimirza, Robert S. Balog
Renewable Energy (2019) Vol. 150, pp. 797-807
Closed Access | Times Cited: 321

Showing 1-25 of 321 citing articles:

Deep learning neural networks for short-term photovoltaic power forecasting
A. Mellit, Alessandro Pavan, Vanni Lughi
Renewable Energy (2021) Vol. 172, pp. 276-288
Closed Access | Times Cited: 239

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production
Ali Agga, Ahmed Abbou, Moussa Labbadi, et al.
Electric Power Systems Research (2022) Vol. 208, pp. 107908-107908
Closed Access | Times Cited: 239

A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat, Rashid Mehmood
Energy and AI (2021) Vol. 4, pp. 100060-100060
Open Access | Times Cited: 205

A Review on Deep Learning Models for Forecasting Time Series Data of Solar Irradiance and Photovoltaic Power
Rial A. Rajagukguk, Raden A. A. Ramadhan, HyunJin Lee
Energies (2020) Vol. 13, Iss. 24, pp. 6623-6623
Open Access | Times Cited: 190

Machine Learning and Deep Learning in Energy Systems: A Review
Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4832-4832
Open Access | Times Cited: 158

Photovoltaic power forecasting based on GA improved Bi-LSTM in microgrid without meteorological information
Zhen Hao, Dongxiao Niu, Keke Wang, et al.
Energy (2021) Vol. 231, pp. 120908-120908
Closed Access | Times Cited: 145

Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
Xiaoqiao Huang, Qiong Li, Yonghang Tai, et al.
Energy (2022) Vol. 246, pp. 123403-123403
Closed Access | Times Cited: 143

Distributed energy systems: A review of classification, technologies, applications, and policies
Talha Bin Nadeem, Mubashir Ali Siddiqui, Muhammad Khalid, et al.
Energy Strategy Reviews (2023) Vol. 48, pp. 101096-101096
Open Access | Times Cited: 128

Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method
Bo Gu, Huiqiang Shen, Xiaohui Lei, et al.
Applied Energy (2021) Vol. 299, pp. 117291-117291
Closed Access | Times Cited: 117

A novel long term solar photovoltaic power forecasting approach using LSTM with Nadam optimizer: A case study of India
Jatin Sharma, Sameer Soni, Priyanka Paliwal, et al.
Energy Science & Engineering (2022) Vol. 10, Iss. 8, pp. 2909-2929
Open Access | Times Cited: 77

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: 76

Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 75

Multi-timescale photovoltaic power forecasting using an improved Stacking ensemble algorithm based LSTM-Informer model
Yisheng Cao, Gang Liu, Dong–Hua Luo, et al.
Energy (2023) Vol. 283, pp. 128669-128669
Closed Access | Times Cited: 71

Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Elissaios Sarmas, Evangelos Spiliotis, Efstathios Stamatopoulos, et al.
Renewable Energy (2023) Vol. 216, pp. 118997-118997
Open Access | Times Cited: 68

Perspectives of photovoltaic energy market development in the european union
Piotr Bórawski, Lisa Holden, Aneta Bełdycka-Bórawska
Energy (2023) Vol. 270, pp. 126804-126804
Closed Access | Times Cited: 57

Photovoltaic systems operation and maintenance: A review and future directions
Hind Abdulla, Andrei Sleptchenko, Ammar Nayfeh
Renewable and Sustainable Energy Reviews (2024) Vol. 195, pp. 114342-114342
Open Access | Times Cited: 34

Energy Forecasting: A Comprehensive Review of Techniques and Technologies
Aristeidis Mystakidis, Paraskevas Koukaras, Nikolaos Tsalikidis, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1662-1662
Open Access | Times Cited: 31

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: 25

Research on a novel photovoltaic power forecasting model based on parallel long and short-term time series network
Guozhu Li, Chenjun Ding, Naini Zhao, et al.
Energy (2024) Vol. 293, pp. 130621-130621
Closed Access | Times Cited: 18

Hybrid deep learning models for time series forecasting of solar power
Diaa Salman, Cem Direkoğlu, Mehmet Kuşaf, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9095-9112
Open Access | Times Cited: 18

PV power forecasting based on data-driven models: a review
Priya Gupta, Rhythm Singh
International Journal of Sustainable Engineering (2021) Vol. 14, Iss. 6, pp. 1733-1755
Open Access | Times Cited: 95

PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production
Mohamed Abdel‐Basset, Hossam Hawash, Ripon K. Chakrabortty, et al.
Journal of Cleaner Production (2021) Vol. 303, pp. 127037-127037
Closed Access | Times Cited: 94

Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method
Zhijian Qu, Juan Xu, Zixiao Wang, et al.
Energy (2021) Vol. 227, pp. 120309-120309
Closed Access | Times Cited: 80

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