Introduction of the track

Innovaud session: Sustainable Energy

With Frédéric Dubois & Dimitri Torregrossa

Opening remarks

Towards collaborative and market-based analytics for energy applications

With Pierre Pinson

Unlocking the value in private data: opportunities for federated analytics in low voltage networks

With Ben Bowler

Industry 4.0 and energy transition

With Eva Urbano

Coffee break

Load prediction and flexible device recognition in smart grids

With Thomas Gall

Non-intrusive load monitoring

With Portia Murray

ML and Power System Modelling Tools for LV last mile insights

With Bruce Stephen & Dongjiao Ge

Bayesian methods for power grid identification

With Jean-Sebastien Brouillon

Physics of Failure and Model-based reasoning to facilitate CBM/PDM processes

With Franz Langmayr

Lunch break

Data-driven energy efficiency and flexibility for the building sector

With Pierre Vogler-Finck

Applied ML: Boosting the Energy Transition

With Thilo Weber

The CityLearn challenge

With Zoltan Nagy

Machine Learning Approach for Prediction of Congressional Voting Records on Climate Mitigation

With Thomas Chen

Coffee break

Surrogate modeling for national scale assessment of wind power technology innovation

With Dylan Harrison-Atlas

Physics-constrained deep learning for energy efficient control of buildings

With Jan Drgona

A Deep Reinforcement Learning Framework for Fast Charging of Li-ion Batteries

With Saehong Park

Incorporating power system physics into deep learning

With Priya Donti

Virtual Apero