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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 New Long-Term Photovoltaic Power Forecasting Model Based on Stacking Generalization Methodology
Eric Ofori-Ntow, Yao Yevenyo Ziggah, María João Rodrigues, et al.
Natural Resources Research (2022) Vol. 31, Iss. 3, pp. 1265-1287
Closed Access | Times Cited: 17

Showing 17 citing articles:

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: 63
A novel interval decomposition correlation particle swarm optimization-extreme learning machine model for short-term and long-term water quality prediction
Songhua Huan
Journal of Hydrology (2023) Vol. 625, pp. 130034-130034
Closed Access | Times Cited: 20
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
A stacked generalisation methodology for estimating the uniaxial compressive strength of rocks
Edmund Nana Asare, Michael Affam, Yao Yevenyo Ziggah
Smart Construction and Sustainable Cities (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 10
Electricity demand forecasting based on feature extraction and optimized backpropagation neural network
Eric Ofori-Ntow, Yao Yevenyo Ziggah
e-Prime - Advances in Electrical Engineering Electronics and Energy (2023) Vol. 6, pp. 100293-100293
Open Access | Times Cited: 10
XGBoost–SFS and Double Nested Stacking Ensemble Model for Photovoltaic Power Forecasting under Variable Weather Conditions
Bowen Zhou, Xinyu Chen, Guangdi Li, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 13146-13146
Open Access | Times Cited: 9
Prediction of Solar Irradiation in Africa using Linear-Nonlinear Hybrid Models
Youssef Kassem, Hüseyin Çamur, Mustapha Tanimu Adamu, et al.
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 4, pp. 11472-11483
Open Access | Times Cited: 8
Iron Ore Price Forecast based on a Multi-Echelon Tandem Learning Model
Weixu Pan, Shi Qiang Liu, Mustafa Kumral, et al.
Natural Resources Research (2024) Vol. 33, Iss. 5, pp. 1969-1992
Closed Access | Times Cited: 2
Variational mode decomposition combined fuzzy—Twin support vector machine model with deep learning for solar photovoltaic power forecasting
Gobu Balraj, T. Aruldoss Albert Victoire, Sivakumar Jaikumar, et al.
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0273632-e0273632
Open Access | Times Cited: 11
Advances in Short-Term Solar Forecasting: A Review and Benchmark of Machine Learning Methods and Relevant Data Sources
Franko Pandžić, Tomislav Capuder
Energies (2023) Vol. 17, Iss. 1, pp. 97-97
Open Access | Times Cited: 5
Research on stacking ensemble method for day-ahead ultra-short-term prediction of photovoltaic power
Congcong Chen, Lin Chai, Qingling Wang
Renewable Energy (2024) Vol. 238, pp. 121853-121853
Closed Access | Times Cited: 1
Day-Ahead Forecast of Photovoltaic Power Based on a Novel Stacking Ensemble Method
Luyao Liu, Qie Sun, Ronald Wennersten, et al.
IEEE Access (2023) Vol. 11, pp. 113593-113604
Open Access | Times Cited: 3
A Combination of Chaotic Harris Hawks Optimizer‐Stacking Model and Kernel Density Estimation Method for Pressing Force Prediction During Slab Sizing Press Process
Wenteng Wu, Wen Peng, Wenbo Wang, et al.
steel research international (2023) Vol. 94, Iss. 12
Closed Access | Times Cited: 2
A Comparative Study on Forecasting Solar Photovoltaic Power Generation Using Artificial Neural Networks
Shereen Siddhara Abdul Salam, M.I. Petra, Абул Калам Азад, et al.
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2023), pp. 1-6
Closed Access | Times Cited: 2
A detailed analysis on the heat generated inside c-Si solar cell
Xiaodong Lu, Haixia Li, Shuxian Lun, et al.
AIP Advances (2024) Vol. 14, Iss. 1
Open Access
Random Particle Swarm Optimization Algorithm for Optimizing Stacking Ensemble Learning Model Combinations
Xiaojin Hao, Zhengguang Chen, Shujuan Yi
(2024)
Closed Access
Swarm Intelligence Algorithm Based on Plant Root System in 1D Biomedical Signal Feature Engineering to Improve Classification Accuracy
Rui Gong, Kazunori HASE
Advances in Technology Innovation (2023) Vol. 8, Iss. 3, pp. 163-176
Open Access
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