105 citations · 441 across the 38 of their papers we have counts for
3 papers · 1 filter
Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility
Karl Schwenk, Tim Harr, René Großmann +3
Electric Vehicle (EV) penetration and renewable energies enables synergies between energy supply, vehicle users, and the mobility sector. However, also new issues arise for car man…
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization
Geoffroy Chaussonnet, Christian Lieber, Yan Yikang +6
This technical report investigates the potential of Convolutional Neural Networks to post-process images from primary atomization. Three tasks are investigated. First, the detectio…
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter
Jorge Ángel González Ordiano, Lutz Gröll, Ralf Mikut +1
Parametric quantile regressions are a useful tool for creating probabilistic energy forecasts. Nonetheless, since classical quantile regressions are trained using a non-differentia…