Workshop overview

Purpose of the Workshop

The goal of this workshop is to bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to energy data analysis. Topics of interest include, but are not limited to the following:
  • Modeling, and prediction of energy usage
  • Mathematical analysis of energy consumer's behavior
  • Algorithms for Nonintrusive load monitoring
  • Field trials and its analysis on demand response program

Time Table [link to abstracts]

  • 10:00 - 11:00: Post Smart Grid & Behavior change by data by Dr. Jong-Woong Choe
  • 11:00 - 11:50: Energy Saving of Public Space by Prof. Wonjong Rhee
  • 11:50 - 13:30: Lunch
  • 13:30 - 14:20: Deep Neural Network Based Demand Side Short Term Load Forecasting by Prof. Hongseok Kim
  • 14:20 - 15:10: Customer baseline for residential peak-time rebate demand response program by Prof. Jinho Kim
  • 15:10 - 15:30: Coffee break
  • 15:30 - 16:20: A step toward deep learning based energy disaggregation by Prof. Taesup Moon
  • 16:20 - 17:10: Towards Practical Implementations of Non Intrusive Load Monitoring by Dr. Jinsung Kim
  • 17:10 - 17:30: Encored NILM Public Datasets by Dr. Hyoseop Lee
  • 17:30 - 18:00: Group discussion
  • 18:00 - 20:00: Banquet

Location & Date

  • Multi-Purpose Hall, 2nd floor, Building 1, Pangyo Startup-campus (판교 스타타업 캠퍼스 1동 다목적홀) 
  • 288, Daewanpangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Korea (Official page, Naver Map, Daum Map)
  • August 18, 2016

Participation Form (참석 신청)


Organizing Committee

  • Dr. Taeyoung Ha (NIMS)
  • Prof. Wonjong Rhee (SNU)
  • Dr. Hyoseop Lee (Encored Technologies, Inc.)

Sponsored by