2020 PES General Meeting Tutorial Series: Machine Learning and Big Data Analytics in Smart Grid, Session 3: Estimation of System State and Behind-the-Meter Solar Generation

Posted:
01 Jul 2020
Authors:
Dr. Lang Tong, Cornell and Dr. Yingchen Zhang, NREL
Sponsored by:
LIVE TUTORIAL EVENT August 3, 2020 (2 PM ET)
Chair:
Dr. Nanpeng Yu
Session Type:
Tutorial
Page/Slide Count:
Time: 02:00 (1 hour 45 min of instruction followed by 15 minutes of Q&A)
This multi-presenter tutorial provides background information, real-world development experience, and in-depth discussions of big data analytics and machine learning in smart grid. The value, velocity, volume, and variety of big data in the smart grid will be discussed. The basics of machine learning algorithms such as unsupervised learning, supervised learning, and reinforcement learning algorithms will be delivered in good depth for working professionals. Important real-world applications of big data analytics and machine learning in the transmission system, distribution system, and electricity market will be presented.
These applications include: behind-the-meter solar estimation, load modeling & monitoring, PMU data analytics, high impedance fault identification, topology identification, distribution system state estimation, oscillation detection and analysis, data-driven distribution system management, topology identification.
Pricing:
Society Members:
IEEE Members:
Non-members:

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