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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

Reservoir Stimulation Optimization with Operational Monitoring for Creation of EGS

EGS field projects have not sustained production at rates greater than 1/2 of what is needed for economic viability. The primary limitation that makes commercial EGS infeasible is our current inability to cost-effectively create high-permeability reservoirs from impermeable, igneo...
A., C. Pacific Northwest National Laboratory
Sep 15, 2014
5 Resources
0 Stars
Publicly accessible