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My ICASSP 2019 Schedule

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SS-L21: Advanced Signal Processing for Non-intrusive Load Monitoring

Session Type: Lecture
Time: Friday, May 17, 13:30 - 15:30
Location: Meeting Room 15
Session Chair: Stephen Makonin, Simon Fraser University
 
  SS-L21.1: DEEP NEURAL NETWORKS FOR APPLIANCE TRANSIENT CLASSIFICATION
         Peter Davies; Green Running
         Jonathan Dennis; Green Running
         Jack Hansom; Green Running
         William Martin; Green Running
         Aistis Stankevicius; Green Running
         Lionel Ward; Green Running
 
  SS-L21.2: EVALUATION OF NON-INTRUSIVE LOAD MONITORING ALGORITHMS FOR APPLIANCE-LEVEL ANOMALY DETECTION
         Haroon Rashid; IIIT Delhi
         Vladimir Stankovic; University of Strathclyde
         Lina Stankovic; University of Strathclyde
         Pushpendra Singh; IIIT Delhi
 
  SS-L21.3: TRANSFERABILITY OF NEURAL NETWORK APPROACHES FOR LOW-RATE ENERGY DISAGGREGATION
         David Murray; University of Strathclyde
         Lina Stankovic; University of Strathclyde
         Vladimir Stankovic; University of Strathclyde
         Srdjan Lulic; PanonIT
         Srdjan Sladojevic; PanonIT
 
  SS-L21.4: WAVENILM: A CAUSAL NEURAL NETWORK FOR POWER DISAGGREGATION FROM THE COMPLEX POWER SIGNAL
         Alon Harell; Simon Fraser University
         Stephen Makonin; Simon Fraser University
         Ivan Bajic; Simon Fraser University
 
  SS-L21.5: NEURAL VARIATIONAL IDENTIFICATION AND FILTERING FOR STOCHASTIC NON-LINEAR DYNAMICAL SYSTEMS WITH APPLICATION TO NON-INTRUSIVE LOAD MONITORING
         Henning Lange; Carnegie Mellon University
         Mario Berges; Carnegie Mellon University
         Zico Kolter; Carnegie Mellon University
 
  SS-L21.6: MULTI LABEL RESTRICTED BOLTZMANN MACHINE FOR NON-INTRUSIVE LOAD MONITORING
         Sagar Verma; Indraprastha Institute of Information Technology, Delhi
         Shikha Singh; Indraprastha Institute of Information Technology, Delhi
         Angshul Majumdar; Indraprastha Institute of Information Technology, Delhi