Conference Agenda

LSTM-based Active and Reactive Load Forecasting and its Replicability in Large Geographical Areas

Dzenana Tomasevic¹, Jelena Ponocko², Tatjana Konjic³

¹University of Zenica, Bosnia and Herzegovina; ²University of Manchester, UK; ³University of Tuzla, Bosnia and Herzegovina

Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System

Jens Engel¹, Thomas Schmitt¹, Tobias Rodemann¹, Jürgen Adamy²

¹Honda Research Institute Europe GmbH, Germany; ²Control Methods and Intelligent Systems Laboratory, Technical University of Darmstadt

Scalable and Lightweight Machine Learning Based Load Forecast: Netload versus Disaggregrated Forecast

Alexander N. Ndife, David Steen, Anh Tuan Le

Chalmers University of Technology, Sweden

Machine Learning-based Model to Estimate the Dynamic Hosting Capacity in Distribution Network

Meysam Asadi, Kamran Jalilpoor, Robbert Claeys, Jan Desmet

EELab/Lemcko, Department of Electromechanical, Systems and Metal Engineering, Ghent University, Kortrijk, Belgium

Machine Learning-Driven Prediction of Load Shedding During Cascading Outages

George Paphitis¹, Balaji Venkateswaran Venkatasubramanian², Mathaios Panteli¹

¹Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus; ²School of Technology, Woxsen University, Telangana, India

Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks

Jochen Cremer^1,2, Adrian Kelly³, Ricardo J. Bessa⁴, Milos Subasic⁵, Panagiotis N. Papadopoulos⁶, Samuel Young⁷, Amar Sagar⁸, Antoine Marot⁹

¹Delft University of Technology, Netherlands; ²Austrian Institute of Technology, Austria; ³Electric Power Research Institute, Ireland; ⁴nstitute for Systems and Computer Engineering, Technology and Science, Portugal; ⁵Hitachi Energy, Germany; ⁶The University of Manchester, United Kingdom; ⁷Energy Systems Catapult, United Kingdom; ⁸Arizona State University, United States of America; ⁹Réseau de Transport d'Électricité, France

Play With Me: Towards Explaining the Benefits of Autocurriculum Training of Learning Agents

Eric MSP Veith¹, Torben Logemann¹, Arlena Wellßow¹, Stephan Balduin²

¹Carl von Ossietzky University Oldenburg, Germany; ²OFFIS - Institute for Information Technology