Power System State Estimation

From Climate Change AI Wiki
This is the approved revision of this page, as well as being the most recent.
Jump to navigation Jump to search

🌎 This article is a stub, and is currently under construction. You can help by adding to it!

This page is part of the Climate Change AI Wiki, which aims provide resources at the intersection of climate change and machine learning.

Many power distribution systems have few sensors, but are increasingly necessary to monitor due to the increase in rooftop solar power. ML can provide algorithms for understanding the state of distribution systems in "low-observability" scenarios where traditional state estimation algorithms may not suffice.

Background Readings[edit | edit source]

Conferences, Journals, and Professional Organizations[edit | edit source]

Libraries and Tools[edit | edit source]

Data[edit | edit source]

Future Directions[edit | edit source]

Relevant Groups and Organizations[edit | edit source]

References[edit | edit source]