SPCN_P2: Smart Grids and IoT |
| Session Type: Poster |
| Time: Tuesday, August 30, 11:20 - 13:00 |
| Location: Poster Area 2 |
| Session Chair: Milos Doroslovacki, George Washington University |
| SPCN_P2.1: A MULTIPLE INSTANCE REGRESSION APPROACH TO ELECTRICAL LOAD DISAGGREGATION |
| Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini, Università Politecnica delle Marche, Italy |
| SPCN_P2.2: FAIRNESS-AWARE USER CLASSIFICATION IN POWER GRIDS |
| Ruijie Du, Yanning Shen, University of California, Irvine, United States |
| SPCN_P2.3: TRANSIENT POWER GRID PHENOMENA CLASSIFICATION BASED ON PHASE DIAGRAM FEATURES AND MACHINE LEARNING CLASSIFIERS |
| Denis Stanescu, Cornel Ioana, GIPSA-lab, France; Angela Digulescu, Alexandru Serbanescu, Military Technical Academy “Ferdinand I”, Romania |
| SPCN_P2.4: INFINITE IMPULSE RESPONSE GRAPH NEURAL NETWORKS FOR CYBERATTACK LOCALIZATION IN SMART GRIDS |
| Osman Boyaci, Katherine Davis, Erchin Serpedin, Texas A&M University, United States; Mohammad Rasoul Narimani, Arkansas State University, United States |
| SPCN_P2.5: UNSUPERVISED SOURCE SEPARATION FOR MULTI-LABEL CLASSIFICATION |
| Imene Mitiche, Alireza Salimy, Alan Nesbitt, Gordon Morison, Glasgow Caledonian University, United Kingdom; Philip Boreham, Tony McGrail, Innovation Centre for Online Systems, United Kingdom |
| SPCN_P2.6: QUANTIZATION-AWARE FEDERATED LEARNING WITH COARSELY QUANTIZED MEASUREMENTS |
| Alireza Danaee, Rodrigo C. de Lamare, Pontifical Catholic University of Rio de Janeiro, Brazil; Vítor H. Nascimento, University of São Paulo, Brazil |