Multi-dimensional flexibility potential quantification of household appliances from smart meter data

Emilio J. Palacios-Garcia¹, Geert Deconinck³, Barry P. Hayes^2,1

¹MaREI Centre, Environmental Research Institute, University College Cork, Cork, Ireland; ²School of Engineering, University College Cork, Cork, Ireland; ³KU Leuven, Dept. of Electrical Engineering, ESAT-ELECTA, Leuven, Belgium

Demonstrating Electrical Model-Free Voltage Calculations with Real Smart Meter Data

Vincenzo Bassi^1,2, Luis F. Ochoa^1,2, Tansu Alpcan¹, Christopher Leckie¹, Michael Z. Liu^1,2, Orlando Pereira¹, Eshan Karunarathne¹

¹Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia; ²VoltMind, Melbourne, Australia

Smart Meter Insights: Identifying and Projecting Electric Vehicle Loads in Reykjavik

Laurentiu Lucian Anton¹, Kári Hreinsson², Ragnar Kristjánsson¹

¹Reykjavik University; ²Veitur ohf.

Feature-based identification of distributed energy resources in buildings from aggregated smart meter data

Ada Canaydin, Joris Depoortere, Hussain Kazmi

Department of Electrical Engineering, KU Leuven, Belgium

Privacy-Preserving Load-Shaping Strategies for Smart Meters using Deep Reinforcement Learning

Ruichang Zhang¹, Kaiyue Wu¹, Youcheng Sun¹, Mustafa A. Mustafa^1,2

¹The University of Manchester, United Kingdom; ²KU Leuven, Belgium

Model-Free Voltage Estimation of Low Voltage Electrical Power Distribution Systems using Smart Meter Data

Anthony O’Malley¹, Emilio J. Palacios-Garcia², Barry P. Hayes^1,2

¹School of Engineering, University College Cork, Cork, Ireland; ²MaREI Centre, Environmental Research Institute, University College Cork, Cork, Ireland

Active and Reactive Power Sequences for Energy Disaggregation with Deep Learning Models

Jean-Luc Timmermans, Pierre Henneaux

Université Libre de Bruxelles, Belgium