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DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release
DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...
Stanley, . et al National Renewable Energy Laboratory
Apr 01, 2020
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
Freedom Field Site Data: June 14, 2011
Freedom Field is a not-for-profit organization formed to facilitate development and commercialization of renewable energy solutions. The organization has installed a variety of renewable energy generating technologies at their facility (located at Rock River Water Reclamation in R...
Hallett, K. and Field, F. National Renewable Energy Laboratory
Jul 18, 2011
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Energy and Economic Assessment of a Stirling Engine Powered by Solar Energy in Bolivia
The Bolivian governments concerns that are related to reducing the consumption of diesel fuel, which is imported, subsidized, and provided to isolated electric plants in rural communities, have led to the implementation of hybrid power systems. The data in this submissions was cre...
Jimenez, P. San Simon University
Dec 10, 2021
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Observations and Lessons Learned in Residential Roofing Integrated Photovoltaics
The data file includes field observations of residential roofing integrated photovoltaics installation that happened between July 2021 and June 2022 in California. There are 21 observations 2 in the re-roofing category and 19 in the new construction category. The file include...
Cook and JenaNational Renewable Energy Laboratory
Mar 15, 2023
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
13 Resources
0 Stars
In curation
13 Resources
0 Stars
In curation