First Workshop on Data Science for Future Energy Systems

Hosted in Conjunction with 26th IEEE International Conference on High Performance Computing, Data, and Analytics HiPC 2019

Link to the Workshop page can be found here

Goal of the Workshop (Call for Workshop Paper)

An Energy System is defined as a system primarily designed to supply energy services to end users. Such systems form the backbone of modern economy and include power grids, oilfields, heating/cooling systems, etc. The design of efficient, reliable and scalable Energy Systems for the future requires making them smarter and transitioning them into Future Energy Systems via novel data driven solutions built on top of the existing monitoring and control infrastructure.

The goal of this workshop is to highlight and encourage discussions regarding novel applications of data science and data analytics techniques in the domain of Energy Systems such as smart (power) grids, smart oilfields, smart heating/cooling systems etc. Data driven techniques enabling transition to Future Energy Systems via improved sustainability and electrification of the energy systems, Uberization of the energy systems, mobility changes due to future energy systems, etc. are solicited.

This workshop seeks submissions related to the following topic areas as applicable to the domain of future energy systems:

  • Discovery of knowledge and insights using data
  • Data Analytics Applications: Learning, prediction, anomaly detection, pattern recognition, search, mining, etc.
  • Data management/infrastructure
  • Data privacy/security
  • Data driven modeling
  • Data driven decision making
  • Data driven techniques enabling energy transition for improved sustainability and electrification
  • Uberization of energy systems - enabling peer-to-peer transactions, minimizing distance between the producer and consumers, user rating system for quality of service, etc.
  • Mobility changes due to future energy systems


Introduction - Data Science for Future Energy Systems. Slides. Presenter: Sanmukh R. Kuppannagari (University of Southern California)

On Using Graph Signal Processing for Electrical Load Disaggregation. Slides. Presenter: B. Subbareddy (IIT Hyderabad)

Variations in residential electricity demand across income categories in urban Bangalore: Results from primary survey. Slides. Presenter: Sashi Kiran Challa (National Institute of Advanced Studies, IISC Campus, Bangalore)

The published papers will be available in the HiPCW 2019 proceedings

Program Committee

  • Ram Balachandran, India
  • Charalampos Chelmis, University of Albany, USA
  • Sanmukh R. Kuppannagari (organizer), University of Southern California, USA
  • Akshay Uttama Nambi, Microsoft Research, India
  • Anand Panangadan, California State University, USA
  • Laks Raghupati, Shell, India
  • Kiran Sajjanshetty, Voyage Auto Inc., USA
  • Chayan Sarkar (organizer), TCS Research & Innovation, India
  • Ajitesh Srivastava, University of Southern California, USA
  • Mahima Agumbe Suresh, San Jose State University, USA