IEEE PES Power & Energy Society

IEEE PES ​​Subcommittee on Big Data & Analytics for Power Systems

Sub-Host - Ted

Chair - Yang Weng

Co-chair - Qiushi Cui

Webmaster - Ted Kim


Goal

Machine Learning


Challenges in Power Systems

Renewable Integration

50%

Reduce Hardware Cost

25%

Improve Efficiency

25%

Tools

Machine Learning

40%

Data Mining

40%

Graphical Interface Design

20%

Audience Distribution

North America

70%

Asia

10%

Europe

10%

Other Areas

10%

Upcoming Webinar

University of California, Riverside [Link]
November 30, 2022 - Upcoming
Hamed Mohsenian

EPFL [Link]
December, 2022 - Upcoming
Paolone Mario

University of Oxford [Link]
January 10, 2023 - Upcoming
David Howey

University of California, Berkeley [Link]
February, 2022 - Upcoming
Shmuel Oren

Blaabjerg Frede and Aalborg University [Link]
March, 2023 - Upcoming
Po-Chen Chen and Ankush Agarwal

Latest Webinar

Machine Learning Methods for Power System Digital Twin Development [Link]
October 18, 2022 - Latest
Ning Lu, Yiyan Li and Lidong Song

PJM's Strategy for Data & Analytics, Regulated Utilities Analytics: Going from a Black & White TV to 4K and Data Driven Grid Dynamics Discovery and Analysis - Challenges and Lessons Learned [Link]
September 14, 2022
Nikki Militello, Herman Ng and Chetan Mishra

Machine Learning Applications to Forecasting Operations of Energy Storage Resources and Crypto Loads [Link]
August 31, 2022
Jian Ma and Pengwei Du

Convergence of AI, Physics, Computing, and Control for Intelligent Power System Control and Beyond [Link]
July 28, 2022
Qiuhua Huang, Marianna Vaiman and Yousu Chen

Control and End-to-end Stability Analysis of Converter Dominated Power Systems [Link]
June 27, 2022
Dominic Groß

How the Fast Taylor-Fourier Transform (FTFT) will Change the Basic Concepts of Power Systems? [Link]
May 26, 2022
José Antonio de la O Serna

Learning and Control in Power Distribution Grids [Link]
March 23, 2022
Steven Low

Distributed Optimization, Prediction, and Privacy Preservation in Power Grids [Link]
March 14, 2022
Anuradha Annaswamy

The Increasing Data Streams in Power Grid Operation [Link]
January 24, 2022
Anjan Bose

Towards a Secure and Resilient Industrial Control System Using Software-Defined Networking [Link]
December 14, 2021
Dong (Kevin) Jin

Low Voltage Data Analytics: Roadblocks, Challenges, and Future Opportunities [Link]
October 20, 2021
Peter Grindrod and Stephen Haben

Real-Time Monitoring of Distribution Systems: Challenges [Link]
September 10, 2021
Mesut Baran

Aggregation and control of distributed energy resources: home energy management, virtual power plants and peer-to-peer energy trading [Link]
August 18, 2021
Gregor Verbic

Power System Protection and Big Data - Challenges and Opportunities [Link]
July 14, 2021
Sukumar Brahma

New Developments in the Visualization of Wide-Area Electric Grid Information with Application to Grid Interconnection Studies [Link]
June 23, 2021
Thomas J. Overbye

Unsupervised Anomaly Detection for Identifying Arcing Hazards on Power Distribution Systems [Link]
June 2, 2021
Jhi-Young Joo

WAMS-Based Mode Meters With Guarantees On Data Recovery Under Corruption [Link]
April 26, 2021
Nilanjan Ray Chaudhuri

Tracking Faults and Network Model Changes Using Phasor Measurements [Link]
March 29, 2021
Ali Abur

Deep Learning for Scenario Generation and Scenario Reduction in Short-Term Power System Operations [Link]
February 26, 2021
Wenyuan Tang

Unlimited Benefit from Grid Edge Synchronized Measurement Data [Link]
December 10, 2020
Yilu Liu

Spatio-Temporal Learning for Enhanced Situational Awareness of the Power Grid [Link]
November 18, 2020
Hao Zhu

Data-Driven Calibration of Electric Power Distribution System Models [Link]
September 30, 2020
Matthew J. Reno and Logan Blakely

Learning to run a power network in a sustainable world Part II: The RTE competition tutorial [Link]
August 19, 2020
Benjamin Donnot

Learning to run a power network in a sustainable world Part I: The RTE competition and problem definition [Link]
July 23, 2020
Antoine Marot

Infrastructure Asset Management with Power System Applications [Link]
July 2, 2020
Lina Bertling Tjernberg

Provable estimation in distribution grids: a physics-informed statistical learning perspective [Link]
June 23, 2020
Deepjyoti Deka

Machine Learning for Power Systems: Physics-Informed Neural Networks and Verification [Link]
April 22, 2020
Spyros Chatzivasileiadis

A Learning-to-Infer Method for Real-Time Power System Monitoring [Link]
March 26, 2020
Yue Zhao

Learning Congestion Patterns in Optimal Power Flow Problems [Link]
February 12, 2020
Line Roald

Wind Variability and Impact on Markets [Link]
January 24, 2020
Ross Baldick

The Machine Learning Approach to Dynamic Security Assessment [Link]
December 2, 2019
Simon Tindemans and Jochen Cremer

Mining Smart Meter Data for Improving Distribution Grid Operation and Resilience [Link]
November 11, 2019
Zhaoyu Wang

Learning for Monitoring and Control in Power Distribution Grids [Link]
October 17, 2019
Vassilis Kekatos

Power Quality Data Analytics and Applications [Link]
September 5, 2019
Surya Santoso

Cyber-Physical System Security of the Power Grid [Link]
July 31, 2019
Chen-Ching Liu

Cyber-Physical Data Analytics to Enable Resilient Electric Grid [Link]
June 19, 2019
Anurag K Srivastava

PMU Data Analytics Using Low-Dimensional Models [Link]
June 7, 2019
Meng Wang

Machine Learning and Big Data Analytics in Power Distribution Systems [Link]
March 28, 2019
Nanpeng Yu

Bringing Data to Life in Energy: Using Population Data with Grid Data to Understand Energy Consumers [Link]
December 14, 2018
Rupen Seoni

Between Big Data and Analytics-What to Do and What Not to Do? [Link]
November 26, 2018
Jeffrey Katz

Big Data Access, Analytics and Sense-Making [Link]
October 30, 2018
Zhenyu (Henry) Huang

Visualization and Analytics for high penetration of Distributed Energy Resources (VADER) [Link]
July 6, 2018
Sila Kiliccote

Finding the Right Grid Model for Your Research in the GRID DATA Repository Using Big Data Semantic Search [Link]
May 18, 2018
Ali Vojdani

Big Data, Enterprise Data Management,and IT/OT Convergence [Link]
January 11, 2018
John D. McDonald

Analytics Use Cases and Foundational Components [Link]
December 5, 2017
Frank M. Gonzales

SMUD’s Data Analytics Initiatives [Link]
November 28, 2017
Jim Parks

Application of Machine Learning to Power Grid Analysis [Link]
November 21, 2017
Mike Zhou

An energy IoT platform for real-time production and delivery of wind power generation forecasts [Link]
June 28, 2017
Chandrasekar Venkatraman and Pierre Huyn