6 citations · 9 across the 5 of their papers we have counts for
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cs.LG2023
Forecasting Intraday Power Output by a Set of PV Systems using Recurrent Neural Networks and Physical Covariates
Pierrick Bruneau, David Fiorelli, Christian Braun +1
Accurate intraday forecasts of the power output by PhotoVoltaic (PV) systems are critical to improve the operation of energy distribution grids. We describe a neural autoregressive…
cs.LG2022★ 1 cited
Cold Start Active Learning Strategies in the Context of Imbalanced Classification
Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier +1
We present novel active learning strategies dedicated to providing a solution to the cold start stage, i.e. initializing the classification of a large set of data with no attached…