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Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
0 Stars
In curation
12 Resources
0 Stars
In curation
Wave Energy Prize 1/20th Testing SEWEC Attenuator
Data from the 1/20th scale testing data completed on the Wave Energy Prize for the SEWEC team, including the 1/20th scale test plan, raw test data, video, photos, and data analysis results.
The top level objective of the 1/20th scale device testing is to obtain the necessary meas...
Scharmen, W. Ricardo Detroit Technical Center
Oct 07, 2016
33 Resources
0 Stars
Publicly accessible
33 Resources
0 Stars
Publicly accessible