Session | ||
W05: Smart meters
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Presentations | ||
Multi-dimensional flexibility potential quantification of household appliances from smart meter data 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 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 1Reykjavik University; 2Veitur ohf. Feature-based identification of distributed energy resources in buildings from aggregated smart meter data Department of Electrical Engineering, KU Leuven, Belgium Privacy-Preserving Load-Shaping Strategies for Smart Meters using Deep Reinforcement Learning 1The University of Manchester, United Kingdom; 2KU Leuven, Belgium Model-Free Voltage Estimation of Low Voltage Electrical Power Distribution Systems using Smart Meter Data 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 Université Libre de Bruxelles, Belgium |