Conference Agenda

Session
THU05: Data-driven approach
Time:
Thursday, 17/Oct/2024:
9:00am - 11:00am

Session Chair: Saber Talari, University of Cologne, Germany
Location: Lokrum 4

Sheraton Dubrovnik Riviera Hotel Šetalište Dr. F. Tuđmana 17, 20207, Srebreno

Presentations

Data-driven Approach for High Loss Detection in LV Networks

José Pedro Paulos1, Pedro Macedo1, Ricardo Bessa1, José Nuno Fidalgo1,2, José Oliveira3

1INESC TEC, Portugal; 2University of Porto; 3ENEIDA



Practical Real-Time Data-Driven Approach for District Cooling Plant Operational Optimization

Ivan Sukhanov1,2, Ahmet Köse1,2, Lauri Loo1, Aleksei Tepljakov2, Eduard Petlenkov2, Juri Belikov2

1R8 Technologies OÜ, Estonia; 2Tallinn University of Technology, Estonia



Data-driven Approaches for Anomaly Detection in Low-Voltage Grid Net Power

Razieh Balouchi Anaraki, Rajkumar Palaniappan, Ulf Häger, Christian Rehtanz

TU Dortmund, Germany



A data-driven architecture for adaptive decentralized charging and energy management

Dominik Ascher, Sahin Albayrak

Technical University Berlin



Islanding Detection In Bulk Power Systems: A Data-Driven Approach

Hêmin Golpîra1, Igor Kuzle2

1University of Kurdistan, Iran; 2University of Zagreb, Croatia



Data-Driven Topology Generation with Physics-Guidance in LV Distribution Networks

Dong Liu1, Juan Giraldo2, Peter Palensky1, Pedro Vergara1

1Intelligent Electrical Power Grids, Delft University of Technology, The Netherlands; 2Energy Transition Studies, Netherlands Organisation for Applied Scientific Research, The Netherlands



Training Data Generation Strategies for Data-driven Security Assessment of Low Voltage Smart Grids.

Juan J. Cuenca1,2, Emanuel Aldea3, Eloann Le Guern-Dall'o2, Raphaël Féraud4, Guy Camilleri1, Anne Blavette2

1Université Toulouse III - Paul Sabatier, France; 2Ecole Normale Supérieure de Rennes, France; 3Université Paris Saclay, France; 4Orange, France



Anomaly Detection in Low-Voltage Grids with LSTM Autoencoders: A Study on Future Scenario Impacts

Razieh Balouchi Anaraki, Rajkumar Palaniappan, Ulf Häger, Christian Rehtanz

TU Dortmund, Germany



Data-Driven Validation of Photovoltaic Performance in the Climatic Context of Malta

Brian Bartolo1,2,3,4, Brian Azzopardi1,4, Kenneth Scerri1,4

1The Foundation for Innovation and Research - Malta, Malta; 2Malta College of Arts, Science and Technology (MCAST); 3Azzopardi & Associates; 4The University of Malta (UM)