Quentin Paletta

Agence internationale de l'énergie — France

Computer Science · Physical Sciences

10h-index412citations26works11.02yr avg
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Research Topics

Solar Radiation and Photovoltaics(22), Photovoltaic System Optimization Techniques(14), Solar Thermal and Photovoltaic Systems(5), Energy Load and Power Forecasting(5), Advanced Image Fusion Techniques(5)

Publications26 total

Downscaling Urban Thermal Signals with Machine Learning: A Case Study of Danish Functional Urban Areas
SSRN Electronic Journal·2026Open Access
Deep Learning-Based Downscaling of Seviri Data for High Spatial Resolution Near-Real-Time Wildfire Monitoring
SSRN Electronic Journal·2025Open Access
Implicit Neural Representation for Ice Sheet Surface Elevation Reconstruction to Assess Elevation Change in High-Spatiotemporal Resolution
SSRN Electronic Journal·2025Open Access
Machine learning forecast of surface solar irradiance from meteo satellite data
Remote Sensing of Environment·2024· 12 citedOpen Access
Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning
Applied Energy·2024· 34 citedOpen Access
SkyImageNet: Towards a Large-Scale Sky Image Dataset for Solar Power Forecasting
SPIRE - Sciences Po Institutional REpository·2024Open Access
Improving cross-site generalisability of vision-based solar forecasting models with physics-informed transfer learning
Energy Conversion and Management·2024· 14 citedOpen Access
SkyGPT: Probabilistic ultra-short-term solar forecasting using synthetic sky images from physics-constrained VideoGPT
Advances in Applied Energy·2024· 28 citedOpen Access
Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey
Renewable and Sustainable Energy Reviews·2023· 50 cited
Advances in solar forecasting: Computer vision with deep learning
Advances in Applied Energy·2023· 114 citedOpen Access
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT
arXiv (Cornell University)·2023· 3 citedOpen Access
Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
Applied Energy·2023· 63 citedOpen Access
Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey
arXiv (Cornell University)·2022· 4 citedOpen Access
Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
arXiv (Cornell University)·2022· 9 citedOpen Access
ECLIPSE: Envisioning CLoud Induced Perturbations in Solar Energy
Applied Energy·2022· 40 citedOpen Access
Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions
arXiv (Cornell University)·2022· 3 citedOpen Access
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 12 citedOpen Access
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
arXiv (Cornell University)·2021Open Access
Benchmarking of deep learning irradiance forecasting models from sky images – An in-depth analysis
Solar Energy·2021· 5 citedOpen Access
ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Joan Lasenby(14), Guillaume Arbod(10), Yuhao Nie(9), Andea Scott(6), Adam R. Brandt(6), Anthony Hu(4), Max Aragón(2), Luis Martín Pomares(2), Sgouris Sgouridis(2), Eric Zelikman(2), Bertrand Le Saux(2), Philippe Blanc(2), Guillermo Terrén-Serrano(1), Binghui Li(1), Jacob Bieker(1), Wenqi Zhang(1), Laurent Dubus(1), Soumyabrata Dev(1), Cong Feng(1), Xiatong Li(1)