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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 AMI devices and PMUs in order to accommodate extreme levels of PV. For this goal, w...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data
This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar.
Three different household-level surveys were...
Sigrin, . et al National Renewable Energy Laboratory
May 22, 2017
13 Resources
0 Stars
Publicly accessible
13 Resources
0 Stars
Publicly accessible