Theo dõi
Quentin PALETTA
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - An in-depth Analysis
Q Paletta, G Arbod, J Lasenby
Solar Energy 224, 855-867, 2021
832021
Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
Q Paletta, G Arbod, J Lasenby
Applied Energy 336, 120818, 2023
49*2023
Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey
Y Nie, X Li, Q Paletta, M Aragon, A Scott, A Brandt
Renewable and Sustainable Energy Reviews 189, 113977, 2024
46*2024
Advances in solar forecasting: Computer vision with deep learning
Q Paletta, G Terrén-Serrano, Y Nie, B Li, J Bieker, W Zhang, L Dubus, ...
Advances in Applied Energy 11, 100150, 2023
452023
ECLIPSE: Envisioning CLoud Induced Perturbations in Solar Energy
Q Paletta, A Hu, G Arbod, J Lasenby
Applied Energy, 2022
422022
Convolutional neural networks applied to sky images for short-term solar irradiance forecasting
Q Paletta, J Lasenby
EU-PVSEC 2020, 2020
382020
Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning
Y Nie, Q Paletta, A Scott, LM Pomares, G Arbod, S Sgouridis, J Lasenby, ...
Applied Energy 369, 123467, 2024
33*2024
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
Q Paletta, A Hu, G Arbod, P Blanc, J Lasenby
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
212022
A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications
Q Paletta, J Lasenby
NeurIPS 2020 - Tackling Climate Change with Machine Learning workshop, 2020
192020
Skygpt: Probabilistic ultra-short-term solar forecasting using synthetic sky images from physics-constrained videogpt
Y Nie, E Zelikman, A Scott, Q Paletta, A Brandt
Advances in Applied Energy 14, 100172, 2024
13*2024
Improving cross-site generalisability of vision-based solar forecasting models with physics-informed transfer learning
Q Paletta, Y Nie, YM Saint-Drenan, B Le Saux
Energy Conversion and Management 309, 118398, 2024
72024
Cloud flow centring in sky and satellite images for deep solar forecasting
Q Paletta, G Arbod, J Lasenby
WCPEC-8, 2022
72022
SkyImageNet: Towards a large-scale sky image dataset for solar power forecasting
Y Nie, Q Paletta, S Wang
ICLR 2024 Workshop on Tackling Climate Change with Machine Learning, 2024
52024
Deep learning applied to sea surface semantic segmentation: Filtering sunglint from aerial imagery
T Vrecica, Q Paletta, L Lenain
ICML 2021 - Tackling Climate Change with Machine Learning workshop, 2021
22021
Machine learning forecast of surface solar irradiance from meteo satellite data
A Sebastianelli, F Serva, A Ceschini, Q Paletta, M Panella, B Le Saux
Remote Sensing of Environment 315, 114431, 2024
2024
Vision-Based Solar Forecasting with Deep Learning
Q Paletta
2024
SIRONA-: 1 a low-cost platform for lunar exploration
E Pachoud, B Eich, E Jehanno, T Errabih, F Clouvel, J Klein, F Hübner, ...
7th Interplanetary CubeSat Workshop, 2018
2018
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