Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Optimal configuration of concentrating solar power in multienergy power systems with an improved variational autoencoder
Qi Yuchen, Wei Hu, Yu Dong, et al.
Applied Energy (2020) Vol. 274, pp. 115124-115124
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

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: 153
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Jonathan Dumas, Antoine Wehenkel, Damien Lanaspeze, et al.
Applied Energy (2021) Vol. 305, pp. 117871-117871
Open Access | Times Cited: 70
Conditional Style-Based Generative Adversarial Networks for Renewable Scenario Generation
Ran Yuan, Bo Wang, Yeqi Sun, et al.
IEEE Transactions on Power Systems (2022) Vol. 38, Iss. 2, pp. 1281-1296
Closed Access | Times Cited: 58
A novel informer-time-series generative adversarial networks for day-ahead scenario generation of wind power
Lin Ye, Yishu Peng, Yilin Li, et al.
Applied Energy (2024) Vol. 364, pp. 123182-123182
Closed Access | Times Cited: 8
Long‐term scenario generation of renewable energy generation using attention‐based conditional generative adversarial networks
Hui Li, Haoyang Yu, Zhongjian Liu, et al.
Energy Conversion and Economics (2024) Vol. 5, Iss. 1, pp. 15-27
Closed Access | Times Cited: 5
Optimal wind and solar sizing in a novel hybrid power system incorporating concentrating solar power and considering ultra-high voltage transmission
Haixing Gou, Chao Ma, Lu Liu
Journal of Cleaner Production (2024) Vol. 470, pp. 143361-143361
Closed Access | Times Cited: 5
Machine Learning Applications in Building Energy Systems: Review and Prospects
D. Li, Zhenzhen Qi, Yiming Zhou, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 648-648
Open Access
Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach
Jihao Shi, Junjie Li, Asif Usmani, et al.
Energy (2020) Vol. 219, pp. 119572-119572
Closed Access | Times Cited: 44
Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy
Yoonjae Lee, Byeongmin Ha, Soonho Hwangbo
Renewable Energy (2022) Vol. 200, pp. 69-87
Closed Access | Times Cited: 23
Distributionally Robust Coordinated Expansion Planning for Generation, Transmission, and Demand Side Resources Considering the Benefits of Concentrating Solar Power Plants
Baorui Chen, Tianqi Liu, Xuan Liu, et al.
IEEE Transactions on Power Systems (2022) Vol. 38, Iss. 2, pp. 1205-1218
Closed Access | Times Cited: 22
A Cross-Modal Generative Adversarial Network for Scenarios Generation of Renewable Energy
Mingyu Kang, Ran Zhu, Duxin Chen, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 2, pp. 2630-2640
Closed Access | Times Cited: 13
Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review
Yang Wang, Shuyu Luo, Lingxiang Yao, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 71, pp. 103992-103992
Closed Access | Times Cited: 4
Optimization of Concentrated Solar Power Subsystems with a focus on green certificate acquisition
Bo Wu, Xiuli Wang, Bangyan Wang, et al.
Solar Energy (2025) Vol. 288, pp. 113242-113242
Closed Access
Artificial intelligence models development for profitability factor prediction in concentrated solar power with dual backup systems
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Omer A. Alawi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A deep-learning framework for forecasting renewable demands using variational auto-encoder and bidirectional long short-term memory
Taehyun Kim, Dongmin Lee, Soonho Hwangbo
Sustainable Energy Grids and Networks (2023) Vol. 38, pp. 101245-101245
Closed Access | Times Cited: 10
Towards CSP technology modeling in power system expansion planning
Valentina Alejandra Norambuena-Guzmán, Rodrigo Palma-­Behnke, Catalina Hernández, et al.
Applied Energy (2024) Vol. 364, pp. 123211-123211
Closed Access | Times Cited: 3
Generating multivariate load states using a conditional variational autoencoder
Chenguang Wang, Ensieh Sharifnia, Zhi Yuan Gao, et al.
Electric Power Systems Research (2022) Vol. 213, pp. 108603-108603
Open Access | Times Cited: 14
Data-driven distributionally robust day-ahead dispatch for active distribution networks based on improved conditional generative adversarial network
Wei Wei, Yudong Wang, Xu Huang, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101402-101402
Closed Access | Times Cited: 2
Multivariate scenario generation of day-ahead electricity prices using normalizing flows
Hannes Hilger, Dirk Witthaut, Manuel Dahmen, et al.
Applied Energy (2024) Vol. 367, pp. 123241-123241
Open Access | Times Cited: 2
Validation Methods for Energy Time Series Scenarios From Deep Generative Models
Eike Cramer, Leonardo Rydin Gorjão, Alexander Mitsos, et al.
IEEE Access (2022) Vol. 10, pp. 8194-8207
Open Access | Times Cited: 11
A Variational Autoencoder-Based Dimensionality Reduction Technique for Generation Forecasting in Cyber-Physical Smart Grids
Devinder Kaur, Shama Naz Islam, M. A. Mahmud
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2021), pp. 1-6
Closed Access | Times Cited: 14
Coordinated scheduling strategy for an integrated system with concentrating solar power plants and solar prosumers considering thermal interactions and demand flexibilities
Yuxuan Zhao, Shengyuan Liu, Zhenzhi Lin, et al.
Applied Energy (2021) Vol. 304, pp. 117646-117646
Closed Access | Times Cited: 14
A two-stage coordinated capacity expansion planning model considering optimal portfolios of flexibility resources
Qingtao Li, Guojun Bao, Jie Chen, et al.
Energy Reports (2023) Vol. 9, pp. 82-94
Open Access | Times Cited: 5
Stochastic distributionally robust unit commitment with deep scenario clustering
Jiarui Zhang, Bo Wang, Junzo Watada
Electric Power Systems Research (2023) Vol. 224, pp. 109710-109710
Closed Access | Times Cited: 5
Stochastic techno-economic assessment of future renewable energy networks based on integrated deep-learning framework: A case study of South Korea
Byeongmin Ha, Seolji Nam, Jaewon Byun, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 150050-150050
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top