Ieee Bda Tutorial Series A

Ieee Bda Tutorial Series A Information Guide

1. Overview on Ieee Bda Tutorial Series A
2. Core Information
3. History
4. Deep Dive
5. Future Outlook

Overview on Ieee Bda Tutorial Series A

Yue Zhao (Stony Brook University) Interested audience can register for the real-time talks with Q&A by clicking the link below: ... Deepjyoti Deka (Los Alamos National Laboratory) Interested audience can register for the real-time talks with Q&A by clicking the ... Simon Tindemans (TU Delft) Jochen Cremer (Imperial College London) Interested audience can register for the real-time talks ... Sukumar Brahma (Clemson University) Interested audience can register for the real-time talks with Q&A by clicking the link below: ... Jeffrey Katz (Head of Grid Technology, IBM) Interested audience can register for the real-time talks with Q&A by clicking the link ... Wenyuan Tang (North Carolina State University) Interested audience can register for the real-time talks with Q&A by clicking the ...

Gregor Verbič (University of Sydney) Interested audience can register for the real-time talks with Q&A by clicking the link below: ... Rupen Seoni (Vice President & Practice Leader, Environics Analytics) Interested audience can register for the real-time talks with ... Surya Santoso (University of Texas at Austin) Interested audience can register for the real-time talks with Q&A by clicking the link ... Meng Wang (Rensselaer Polytechnic Institute) Interested audience can register for the real-time talks with Q&A by clicking the link ... Nanpeng Yu (University of California, Riverside) Interested audience can register for the real-time talks with Q&A by clicking the ... Zhaoyu Wang (Iowa State University) Interested audience can register for the real-time talks with Q&A by clicking the link below: ...

Core Information

Hao Zhu (The University of Texas at Austin) Interested audience can register for the real-time talks with Q&A by clicking the link ...

History

(IEEE BDA Tutorial Series) Between Big Data and Analytics – What to Do and What Not to Do?

(IEEE BDA Tutorial Series) Deep Learning for Scenario Generation & Reduction in Short-Term Operation

(IEEE BDA Tutorial Series) Power System Protection and Big Data - Challenges and Opportunities

(IEEE BDA Tutorial Series) Big Data & Analytics for Power Systems

(IEEE BDA Tutorial Series) Power Quality Data Analytics and Applications

(IEEE BDA Tutorial Series) PMU Data Analytics Using Low-Dimensional Models

(IEEE BDA Tutorial Series) Machine Learning and Big Data Analytics in Power Distribution Systems

(IEEE BDA Tutorial Series) Mining Smart Meter Data for Improving Distribution Grid Operation

(IEEE BDA Tutorial Series) Spatio-Temporal Learning for Enhanced Situational Awareness of Power Grid

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 9, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.