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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:

A hybrid model of CNN and LSTM autoencoder-based short-term PV power generation forecasting
Mohamed S. Ibrahim, Sawsan Morkos Gharghory, Hanan Ahmed Kamal
Electrical Engineering (2024) Vol. 106, Iss. 4, pp. 4239-4255
Open Access | Times Cited: 14

Showing 14 citing articles:

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
Adaptive neuro-fuzzy inference system for accurate power forecasting for on-grid photovoltaic systems: A case study in Sharjah, UAE
Tareq Salameh, Mena Maurice Farag, Abdul-Kadir Hamid, et al.
Energy Conversion and Management X (2025), pp. 100958-100958
Open Access | Times Cited: 1
Comparative Analysis of Solar Energy Generation Techniques in Maharashtra Using Deep Learning Approaches
Atharva Waingankar, Dahryn Trivedi, Sharvil Gangan, et al.
(2025), pp. 1-6
Closed Access
Techno-Economic Implications and Cost of Forecasting Errors in Solar PV Power Production Using Optimized Deep Learning Models
Sameer Al‐Dahidi, Mohammad Alrbai, Bilal Rinchi, et al.
Energy (2025), pp. 135877-135877
Closed Access
A Short-term photovoltaic power prediction method based on the nearest clear sky day decomposition and temporal convolutional network
R.L. Zhang, Chengxin Pang, Xiaoguang Zhu, et al.
Electrical Engineering (2025)
Closed Access
Advancements and Challenges in Photovoltaic Power Forecasting: A Comprehensive Review
Paolo Di Leo, Alessandro Ciocia, Gabriele Malgaroli, et al.
Energies (2025) Vol. 18, Iss. 8, pp. 2108-2108
Open Access
Utilizing a CNN-RNN machine learning approach for forecasting time-series outlet fluid temperature monitoring by long-term operation of BHEs system
M J King, Sang Inn Woo, Chan-Young Yune
Geothermics (2024) Vol. 122, pp. 103082-103082
Closed Access | Times Cited: 3
Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting
Yeeun Moon, Younjeong Lee, Yejin Hwang, et al.
Energies (2024) Vol. 17, Iss. 15, pp. 3666-3666
Open Access | Times Cited: 3
Adaptive neuro-fuzzy inference system for DC power forecasting for grid-connected PV system in Sharjah
Tareq Salameh, Mena Maurice Farag, Abdul-Kadir Hamid, et al.
Materials research proceedings (2024)
Open Access | Times Cited: 1
Explainable AI and optimized solar power generation forecasting model based on environmental conditions
Rizk M. Rizk‐Allah, Lobna M. Abouelmagd, Ashraf Darwish, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0308002-e0308002
Open Access | Times Cited: 1
An Intra-Hour photovoltaic power generation prediction method for flexible building energy systems and its application in operation scheduling strategy
Yu-meng Su, Weirong Zhang, Gaofeng Deng, et al.
Solar Energy (2024) Vol. 284, pp. 113031-113031
Closed Access | Times Cited: 1
Enhanced solar power prediction using CNN and ladybug beetle optimization algorithm
Raj Kumar Parida, Monideepa Roy, Ajaya Kumar Parida, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 2133-2144
Closed Access
Spatio-temporal photovoltaic prediction via a convolutional based hybrid network
Sicheng Wang, Yan Huang
Computers & Electrical Engineering (2024) Vol. 123, pp. 110021-110021
Closed Access
An Efficient Machine Learning Based Optimization Framework to Analyse the Short-Term Solar Energy
Raj Kumar Parida, Monideepa Roy, Ajaya Kumar Parida, et al.
(2024), pp. 1-6
Closed Access
Neural network input data calculation method based on the grey model
Xiankui Wen, Ke Zhou, Junwei Zhang, et al.
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 25, Iss. 2, pp. 1678-1685
Closed Access
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