Karim Said Barsim

Non-Intrusive Load Monitoring (NILM) is a technique that aims at inferring the energy consumption profiles of individual loads from a single or a limited number of measurement points at the building level. NILM was first proposed in 1992 by studies from researches in MIT and France. Since then it has witnessed a rapid and increasing progress due to its promising applications that include more efficient energy conservation, home automation, pricing per end-use, and activity monitoring. Research on NILM flourished mainly in three directions: extraction of more distinctive load signatures, developing smarter disaggregation algorithms, and acquiring power measurements for training, test, and validation of developed systems. At the Institute of Signal processing and System theory (ISS), we contribute to all these directions and work on different, novel approaches for energy disaggregation.

• Karim Said Barsim, Lukas Mauch, and Bin Yang 
  Neural Network Ensembles to Real-time Identificaiton of Plug-level Appliance Measurements 
  In the 3rd  International Workshop on Non-Intrusive Load Monitoring (NILM 2016), Vancouver, Canada, 14th, May. 2016.

• Lukas Mauch, Karim Said Barsim, and Bin Yang 
  How well can HMM model load signals ? 
  In the 3rd  International Workshop on Non-Intrusive Load Monitoring (NILM 2016), Vancouver, Canada, 14th, May. 2016.

• Karim Said Barsim and Bin Yang   
  Sequential Clustering-based Event Detection for Non-Intrusive Load Monitoring  
  Proceedings of the 6th International Conference on Computer Science and Information Technology (CCSIT 2016), Zurich, Switzerland, 2nd Jan. 2016.

• Karim Said Barsim and Bin Yang    
  Toward a Semi-Supervised Non-Intrusive Load Monitoring System for 
  Event-based Energy Disaggregation 
  Proceedings of the 3rd IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, Florida, USA, 14th, Dec. 2015.

• Benjamin Wild, Karim Said Barsim, and Bin Yang   
  A New Unsupervised Event Detector for Non-Intrusive 
  Load Monitoring 
  Proceedings of the 3rd IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, Florida, USA, 14th, Dec. 2015.

• Karim Said Barsim, Roman Streubel, and B. Yang   
  Unsupervised Non-Intrusive Load Monitoring of Residential Appliances  
  Proceedings of the 48th International Universities'  Power Engineering Conference (UPEC), Dublin, 2-5 Sept. 2013

• Karim Said Barsim, Roman Streubel, and Bin Yang    
  Unsupervised Adaptive Event Detection for Building-Level Energy Disaggregation    
  Proceedings of the Power and Energy Student Summit (PESS), Stuttgart, 23-24 Jan. 2014

• K. S. Barsim, Roman Streubel, and Bin Yang   
  An Approach for Unsupervised Non-Intrusive Load Monitoring of Residential Appliances 
  Proceedings of the 2nd Non-Intrusive Load Monitoring (NILM) Workshop 2014, Austin, 3rd Jun. 2014