10 citations · 33 across the 10 of their papers we have counts for
3 papers · 1 filter
SPIN: Simplifying Polar Invariance for Neural networks Application to vision-based irradiance forecasting
Quentin Paletta, Anthony Hu, Guillaume Arbod +2
Translational invariance induced by pooling operations is an inherent property of convolutional neural networks, which facilitates numerous computer vision tasks such as classifica…
ECLIPSE : Envisioning CLoud Induced Perturbations in Solar Energy
Quentin Paletta, Anthony Hu, Guillaume Arbod +1
Efficient integration of solar energy into the electricity mix depends on a reliable anticipation of its intermittency. A promising approach to forecast the temporal variability of…
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images -- an in-depth Analysis
Quentin Paletta, Guillaume Arbod, Joan Lasenby
A number of industrial applications, such as smart grids, power plant operation, hybrid system management or energy trading, could benefit from improved short-term solar forecastin…