Predictive Maintenance: Difference between revisions
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==Background Readings== |
==Background Readings== |
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==Conferences, Journals, and Professional Organizations== |
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==Community== |
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==Libraries and Tools== |
==Libraries and Tools== |
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==Data== |
==Data== |
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==Future Directions== |
==Future Directions== |
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== Relevant Groups and Organizations == |
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==References== |
==References== |
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Revision as of 21:31, 6 December 2020
🌎 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.
Quickly detecting power system faults can help reduce power system waste or improve the utilization of low-carbon energy resources. ML can help detect faults in real time from sensor data, or even forecast them ahead of time to enable preemptive maintenance.