Skip to main content Skip to navigation
SGDRIL Smart Grid Demonstration Research Investigation Lab

Data Analytics for the Smart Grid (DASG)

28th August, 2017

Washington State University, Pullman

Sponsored by Smart Grid Demonstration and Research Investigation Lab (SGDRIL)1, Energy System Innovation Center2, WSU3, and Siemens4


Enhanced penetration of distributed energy resources and prosumers, increasing adverse weather and cyber events, emergence of smart cities, high-resolution sensor data, and strong dependence on communication and cyber technologies, has changed the way the electric grid operates. These changes are imposing new operational challenges, but also provide new opportunities for developing solutions.

Availability of data from massive sensors deployment enables new monitoring and control strategies such as distributed and decentralized control, transactive control, asset monitoring, cyber-security analytics and advanced pricing models data available from phasor measurement units (PMUs) enables enhanced situational awareness and decision support. Distribution automation and smart meters enable advanced volt-var control, real-time load behavior tracking, outage management, and transactive control. Enhanced visibility of low voltage distribution network enabled by data sensors may help energy producers and consumers to better manage their energy portfolio for economic and reliable operation through transactive energy. Furthermore, an increasing number of digital devices and sensor data in this cyber-physical electric grid also need solutions for data anomalies and cyber-security management.

One of the focus areas of the workshop is Big Data in Smart Grid. Big data is generated and monitored ubiquitously in smart grids, but largely unexploited in discovering knowledge and new solutions for critical smart grid applications. Robust data analytics solutions are critical towards the optimized operation of smart grid.

Goals and Objectives

This workshop will comprise of invited talks by subject experts and panel discussions with opportunities for meeting experts from academia, industry, and national labs. This workshop will also facilitate to gain insight into the evolving data analytics technologies. The objectives of the workshop will be:

  • To gain insight into state-of-the-art data analytics techniques.
  • To understand the applications of these techniques in the context of the smart grid.

The workshop welcomes topics that might include (but are not restricted to) theoretical, experimental and empirical research in the following areas:

  • Smart grid data quality
  • Smart grid situational awareness
  • Sensing and control in the smart grid
  • Asset monitoring
  • Large-scale data analysis in smart grid
  • Tools for distributed analysis
  • Smart grid cyber security
  • Microgrids
  • Advanced metering infrastructure

Who Should Attend

Members of academic institutions, researchers, industry members and any other who would be interested in the data analytics techniques and their applications in the smart grid.

Tentative Program Schedule

08:30 AM – 09:00 AMRegistration
09:00 AM – 09:10 AMWelcome Mary Rezac, Dean, Violand College of Engineering, Washington State University
09:10 AM – 09:45 AMKeynote Anjan Bose, Washington State University: Data Analytics for Power Grid Planning and Operations
09:45 AM – 10:35 AMPanel 1: Data Access and Technology in Smart Grid Chair: Yinghui Wu, WSU Henry Huang, Pacific Northwest National Lab: Big Data Access, Analytics and Sense-Making Karla Kvaternik, Siemens: Blockchain-enabled trading and analytics platforms for transactive energy systems Qiuhua Huang, Pacific Northwest National Lab: Review and prospects of machine learning for power system analytics and operation
10:35 AM – 10:55 AMCoffee Break
10:55 AM – 12:35 PMPanel 2: Cyber infrastructure and Security for Data Analytics in Smart Grid Chair: Adam Hahn, WSU Osman Ahmed, Pacific Northwest National Lab: Digitalization for energy systems Arun Sehgal, ITRON: Data Driven Grid intelligence at the edge devices – the new developments in the world of smart nodes connectivity Jessica Smith, Pacific Northwest National Lab: Cyber and physical and human security, oh my! Adam Hahn, WSU and Jiaxing Pi, Siemens: Cyber-Security Analytics for Transactive Energy Systems Seemita Pal, Pacific Northwest National Lab: Seemita – DASG_20170825A Testbed Environment for Building-to-Grid Cyber Resilience Analytics
12:35 PM – 13:20 PMLunch Break
13:20 PM – 15:00 PMPanel 3: Data Analytics Applications in Active Distribution Grid Chair: Sindhu Suresh, Siemens Robert Rallo, Pacific Northwest National Lab: Rallo – WSU_Pullman_workshopData Analytics in Smart Cities Yubo Wang, Siemens: Data driven integration of EV into distribution grids: state-of-the-art and challenges Rui Yang, National Renewable Energy Lab: Predictive Analytics for Coordinated Optimization in Distribution Systems Raffi Sevlian, Stanford University: VADER: Visualization and Analytics for Distributed Energy Resources Xiaofan Wu, Siemens: Agent Based Analytics for Shipboard Management System Yusheng Luo, Idaho National Lab: Incisive Data Mining and Advanced Visualization for Dynamic State Estimation
15:00 PM – 15:20 PMCoffee Break
15:20 PM – 16:30 PMPanel 4: Data Analytics Applications in Transmission Grid Chair: Anjan Bose, WSU Yinghui Wu, Washington State University: YWu – PMU ensembleEnsemble Based Techniques for Synchrophasor Anomaly and Events Detection Brett Amidan, Pacific Northwest National Lab: Discovery Through Situational Awareness Greg Zweigle, Schweitzer Engineering Lab: Integrating Local-Area Protection Data and Wide-Area Synchrophasor Data For Better Root-Cause Analytics Dileep Rudran, Omnetric Group: Data Integration and Analytics for Asset Management and Operations
16:30 PM – 16:45 PMDiscussion and Thanks
16:45 PM – 17:30 PMLab Tours (SGDRIL, Smart City, LIPE)
18:00 PM – 20:00 PMDinner (at Banyans on the Ridge, Pullman)

Biography of Speakers


Important Dates

Registration is closed


Free available through Eventbrite5

Organizing and Advisory Committee

  1. Anurag Srivastava, WSU
  2. Yinghui Wu, WSU
  3. Adam Hahn, WSU
  4. Vignesh V.G. Krishnan, WSU
  5. Sindhu Suresh, Siemens
  6. Param Banerjee, WSU

Student Volunteers

  1. Hyesun Cha
  2. Hyojong Lee
  3. Sayonsom Chanda
  4. Venkatesh Venkataramanan
  5. Bo Cui
  6. Yue Zhang

Contact Information

Dr. Anurag K Srivastava
Associate Professor
Director, Smart Grid Demonstration and Research Investigation Lab (SGDRIL)
School of Electrical Engineering and Computer Science
PO Box 642752, Pullman, WA 99164-2752
Phone: 509-335-2348 ยท Fax: 509-335-3818

Hotel Information
  • Quality Inn Paradise Creek – 0.9 mile away
    Address: S.E. 1400 Bishop Blvd., Pullman, WA 99163
    Phone: (509) 332-0500
  • Holiday Inn Express & Suites – 1.2 miles away
    Address: 1190 SE Bishop Blvd, Pullman, WA 99163
    Phone: (509) 334-4437
    Special Offer: If you plan to stay at Holiday Inn Express & Suites for Aug 27th – Aug 29th, please call the hotel directly or book online via the website using the group code PGW to get a special rate ($119/night).
    The cut-off for special rate is at Tuesday, August 22nd.
  • The Hilltop- Lodging, Cuisine & Spirits – 1.3 miles away
    Address: 928 NW Olsen St, Pullman, WA 99163
    Phone: (509) 332-0928
  • Residence Inn by Marriott – 1.6 miles away
    Address: 1255 NE North Fairway Dr, Pullman, WA 99163
    Phone: (509) 332-4400
  • La Quinta Inn & Suites – 7.3 miles away
    Address: 185 Warbonnet Dr, Moscow, ID 83843
    Phone: (208) 882-5365
  • Best Western Plus University Inn – 7.9 miles away
    Address: 1516 Pullman Rd, Moscow, ID 83843
    Phone: (208) 882-0550
Parking Information

Please visit Brelsford WSU Visitor Center and mention Power Grid Workshop to pick up a Green 3 Visitors parking permit. Address: 150 E Spring Street, Pullman, WA 99163 Hours: M-F 7:00 am – 5 pm, Sat 9 am – 2 pm