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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:

Computationally expedient Photovoltaic power Forecasting: A LSTM ensemble method augmented with adaptive weighting and data segmentation technique
Razin Ahmed, Victor Sreeram, Roberto Togneri, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115563-115563
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

A novel learning approach for short-term photovoltaic power forecasting - A review and case studies
Khaled Ferkous, Mawloud Guermoui, Sarra Menakh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108502-108502
Closed Access | Times Cited: 25
Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field
Zhen Shao, Jun Han, Wei Zhao, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116138-116138
Closed Access | Times Cited: 40
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: 37
Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117574-117574
Closed Access | Times Cited: 34
Multi-timescale optimization scheduling of regional integrated energy system based on source-load joint forecasting
Xin Ma, Bo Peng, Xiangxue Ma, et al.
Energy (2023) Vol. 283, pp. 129186-129186
Closed Access | Times Cited: 29
Regional wind-photovoltaic combined power generation forecasting based on a novel multi-task learning framework and TPA-LSTM
Yuejiang Chen, Jiang‐Wen Xiao, Yan‐Wu Wang, et al.
Energy Conversion and Management (2023) Vol. 297, pp. 117715-117715
Closed Access | Times Cited: 28
Prediction of Photovoltaic power generation and analyzing of carbon emission reduction capacity in China
Bingchun Liu, Xiankai Huo
Renewable Energy (2024) Vol. 222, pp. 119967-119967
Closed Access | Times Cited: 15
Multi-step power forecasting for regional photovoltaic plants based on ITDE-GAT model
Jincheng Liu, Teng Li
Energy (2024), pp. 130468-130468
Closed Access | Times Cited: 10
A hybrid machine learning forecasting model for photovoltaic power
Zhijian Hou, Yunhui Zhang, Qian Liu, et al.
Energy Reports (2024) Vol. 11, pp. 5125-5138
Open Access | Times Cited: 9
Parallel TimesNet-BiLSTM model for ultra-short-term photovoltaic power forecasting using STL decomposition and auto-tuning
Jianqiang Gong, Zhiguo Qu, Zhiyu Zhu, et al.
Energy (2025), pp. 135286-135286
Closed Access | Times Cited: 1
Solar power generation forecasting by a new hybrid cascaded extreme learning method with maximum relevance interaction gain feature selection
Gholamreza Memarzadeh, Farshid Keynia
Energy Conversion and Management (2023) Vol. 298, pp. 117763-117763
Closed Access | Times Cited: 21
Load prediction of integrated energy systems for energy saving and carbon emission based on novel multi-scale fusion convolutional neural network
Zhiwei Chen, Weicheng Zhao, Xiaoyong Lin, et al.
Energy (2023) Vol. 290, pp. 130181-130181
Closed Access | Times Cited: 19
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: 17
A novel bimodal feature fusion network-based deep learning model with intelligent fusion gate mechanism for short-term photovoltaic power point-interval forecasting
Zhi-Feng Liu, Xiaorui Chen, Ya-He Huang, et al.
Energy (2024) Vol. 303, pp. 131947-131947
Closed Access | Times Cited: 6
Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa
Senthil Krishnamurthy, Oludamilare Bode Adewuyi, Emmanuel Luwaca, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100772-100772
Open Access | Times Cited: 6
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: 13
Prediction of rainy-day photovoltaic power generation based on Generative Adversarial Networks and enhanced Sparrow Search Algorithm
Liu Wencheng, Zhizhong Mao
Computers & Electrical Engineering (2024) Vol. 119, pp. 109529-109529
Closed Access | Times Cited: 5
BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting
Linfei Yin, Yujie Sun
Energy Conversion and Management (2024) Vol. 321, pp. 119094-119094
Closed Access | Times Cited: 5
A Short-Term Power Prediction Method Based on Temporal Convolutional Network in Virtual Power Plant Photovoltaic System
X. K. Zhou, Chengxin Pang, Xinhua Zeng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 12
Wind forecasting-based model predictive control of generator, pitch, and yaw for output stabilisation – A 15-megawatt offshore
Tenghui Li, Jin Yang, Αναστασία Ιωάννου
Energy Conversion and Management (2024) Vol. 302, pp. 118155-118155
Open Access | Times Cited: 4
A structural depth network embedding stacking model based on Moran’s index and seasonal trend for short-term solar irradiance prediction
Zhijian Qu, Ting Li, Xinxing Hou, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118397-118397
Closed Access | Times Cited: 4
Improving Photovoltaic Power Prediction: Insights through Computational Modeling and Feature Selection
Ahmed Faris Amiri, Aissa Chouder, Houcine Oudira, et al.
(2024)
Open Access | Times Cited: 4
Ultra-Short-Term Photovoltaic Power Prediction by NRGA-BiLSTM Considering Seasonality and Periodicity of Data
Hong Wu, Haipeng Liu, Huaiping Jin, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4739-4739
Open Access | Times Cited: 4
TBFL: blockchain-enabled trusted byzantine-robust federated learning framework for photovoltaic power generation forecasting
Yan Zhang, Liangliang Wang, Yiyuan Luo, et al.
The Computer Journal (2025)
Closed Access
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
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