Biography and Research Information
OverviewAI-generated summary
Adrian De Luis's research focuses on the application of deep learning techniques to solar photovoltaic (PV) profiling. He has developed models such as SolarFormer and S3Former, which utilize multi-scale Transformers to achieve high-resolution solar PV profiling. These models aim to improve the accuracy and detail in predicting solar energy output.
His work involves the development and refinement of advanced Transformer architectures for time-series forecasting in the renewable energy sector. De Luis has published four papers on this topic, with his most recent work appearing in 2025. He has collaborated with researchers including Minh Quan Tran, Anh Tran, Alan Mantooth, and Minh Trần at the University of Arkansas at Fayetteville on these projects.
Metrics
- h-index: 3
- Publications: 4
- Citations: 11
Selected Publications
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S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling (2025)
Collaboration Network
Top Collaborators
Ngan Le
University of Arkansas at Fayetteville (US)
4 shared publications
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
- S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Minh Trần
3 shared publications
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Roy McCann
3 shared publications
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Alan Mantooth
3 shared publications
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Ying Huang
Wells Fargo (United States) (US)
3 shared publications
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Taisei Hanyu
2 shared publications
In database
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
Anh Tran
2 shared publications
In database
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
Haitao Liao
University of Arkansas at Fayetteville
2 shared publications
In database
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
- S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Jack Cothren
University of Arkansas at Fayetteville (US)
2 shared publications
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
- S3Former: Self-supervised High-resolution Transformer for Solar PV Profiling
Liao Haitao
1 shared publication
- SolarFormer: Multi-scale Transformer for Solar PV Profiling
Minh Quan Tran
University of Arkansas at Fayetteville
1 shared publication
In database
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
Ying Huang
North Dakota State University (US)
1 shared publication
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
Roy McCann
University of Arkansas at Fayetteville
1 shared publication
In database
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
H. Alan Mantooth
University of Arkansas at Fayetteville
1 shared publication
In database
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling
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