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:
Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts
Jens Schreiber, Bernhard Sick
Energy and AI (2023) Vol. 14, pp. 100249-100249
Open Access | Times Cited: 12
Jens Schreiber, Bernhard Sick
Energy and AI (2023) Vol. 14, pp. 100249-100249
Open Access | Times Cited: 12
Showing 12 citing articles:
Transient modeling and control strategies for WT-PV integrated hydrogen production system
Xiyuan Zhang, Bowen Wang, Fan Zhang, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 244, pp. 126918-126918
Closed Access
Xiyuan Zhang, Bowen Wang, Fan Zhang, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 244, pp. 126918-126918
Closed Access
Probabilistic ultra-short-term solar photovoltaic power forecasting using natural gradient boosting with attention-enhanced neural networks
Zhe Song, Fu Xiao, Zhe Chen, et al.
Energy and AI (2025), pp. 100496-100496
Open Access
Zhe Song, Fu Xiao, Zhe Chen, et al.
Energy and AI (2025), pp. 100496-100496
Open Access
Swin transformer-based transferable PV forecasting for new PV sites with insufficient PV generation data
Shijie Xu, Hui Ma, Chandima Ekanayake, et al.
Renewable Energy (2025), pp. 122824-122824
Closed Access
Shijie Xu, Hui Ma, Chandima Ekanayake, et al.
Renewable Energy (2025), pp. 122824-122824
Closed Access
DTTM: A deep temporal transfer model for ultra-short-term online wind power forecasting
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 14
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 14
A novel short-term load forecasting approach for data-poor areas based on K-MIFS-XGBoost and transfer-learning
Qiuyu Yang, Yuyi Lin, Shusen Kuang, et al.
Electric Power Systems Research (2024) Vol. 229, pp. 110151-110151
Closed Access | Times Cited: 4
Qiuyu Yang, Yuyi Lin, Shusen Kuang, et al.
Electric Power Systems Research (2024) Vol. 229, pp. 110151-110151
Closed Access | Times Cited: 4
An explainable AI framework for robust and transparent data-driven wind turbine power curve models
Simon Letzgus, Klaus‐Robert Müller
Energy and AI (2023) Vol. 15, pp. 100328-100328
Open Access | Times Cited: 11
Simon Letzgus, Klaus‐Robert Müller
Energy and AI (2023) Vol. 15, pp. 100328-100328
Open Access | Times Cited: 11
Component modeling and updating method of integrated energy systems based on knowledge distillation
Xueru Lin, Wei Zhong, Xiaojie Lin, et al.
Energy and AI (2024) Vol. 16, pp. 100350-100350
Open Access | Times Cited: 3
Xueru Lin, Wei Zhong, Xiaojie Lin, et al.
Energy and AI (2024) Vol. 16, pp. 100350-100350
Open Access | Times Cited: 3
Transferable wind power probabilistic forecasting based on multi-domain adversarial networks
Xiaochong Dong, Yingyun Sun, Lei Dong, et al.
Energy (2023) Vol. 285, pp. 129496-129496
Closed Access | Times Cited: 8
Xiaochong Dong, Yingyun Sun, Lei Dong, et al.
Energy (2023) Vol. 285, pp. 129496-129496
Closed Access | Times Cited: 8
Application of machine learning to assess people's perception of household energy in the developing world: A case of Nepal
Utsav Bhattarai, Tek Maraseni, Laxmi Prasad Devkota, et al.
Energy and AI (2023) Vol. 14, pp. 100303-100303
Open Access | Times Cited: 6
Utsav Bhattarai, Tek Maraseni, Laxmi Prasad Devkota, et al.
Energy and AI (2023) Vol. 14, pp. 100303-100303
Open Access | Times Cited: 6
A Comprehensive Review of Artificial Intelligence Applications in the Photovoltaic Systems
Jiaming Hu, Boon-Han Lim, Xiaoyun Tian, et al.
CAAI Artificial Intelligence Research (2024), pp. 9150031-9150031
Open Access | Times Cited: 1
Jiaming Hu, Boon-Han Lim, Xiaoyun Tian, et al.
CAAI Artificial Intelligence Research (2024), pp. 9150031-9150031
Open Access | Times Cited: 1
Abstracts of the 12th DACH+ Conference on Energy Informatics 2023
Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer, et al.
Energy Informatics (2023) Vol. 6, Iss. S2
Open Access | Times Cited: 2
Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer, et al.
Energy Informatics (2023) Vol. 6, Iss. S2
Open Access | Times Cited: 2
Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts
Jens Schreiber, Bernhard Sick
Energies (2022) Vol. 15, Iss. 21, pp. 8062-8062
Open Access | Times Cited: 4
Jens Schreiber, Bernhard Sick
Energies (2022) Vol. 15, Iss. 21, pp. 8062-8062
Open Access | Times Cited: 4
A hybrid wind power prediction model based on seasonal feature decomposition and enhanced feature extraction
Weipeng Li, Yuting Chong, Xin Guo, et al.
Energy and AI (2024) Vol. 18, pp. 100442-100442
Open Access
Weipeng Li, Yuting Chong, Xin Guo, et al.
Energy and AI (2024) Vol. 18, pp. 100442-100442
Open Access
An Adaptive Selection Strategy for Runoff Prediction Models Based on Reinforcement Learning
Wenbin Hu, Chao Wang, Xiaohui Yuan
(2024), pp. 264-269
Closed Access
Wenbin Hu, Chao Wang, Xiaohui Yuan
(2024), pp. 264-269
Closed Access
Dttm: A Deep Temporal Transfer Model for Short-Term Wind Power Forecasting in Incremental Wind Power Scenarios
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
(2023)
Closed Access
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
(2023)
Closed Access
