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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
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Wave Energy Prize 1/50th Testing RTI Wave Power Oscillating Wave Surge Converter

This submission of data includes all the 1/50th scale testing data completed on the Wave Energy Prize for the RTI Wave Power team, and includes: 1/50th test data (raw & processed) 1/50th test data video and pictures 1/50th Test plans and testing documents SSTF_Submission (summ...
Scharmen, W. Ricardo Detroit Technical Center
Dec 18, 2015
70 Resources
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