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Massachusetts High Resolution Wind Resource

Annual average wind resource potential for the state of Massachusetts at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
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In curation

University of Massachusetts Marine Renewable Energy Center Waverider Buoy Data

The compressed (.zip) file contains Datawell MK-III Directional Waverider binary and unpacked data files as well as a description of the data and manuals for the instrumentation. The data files are contained in the two directories within the zip file, "Apr_July_2012" and "Jun_Sept...

Lohrenz, S. University of Massachusetts

Oct 07, 2015
3 Resources
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ResStock Communities Local Energy Action Program (Communities LEAP) Pilot Residential Housing Analysis

Data is associated with Report "ResStock Communities LEAP Pilot Residential Housing Analysis Detailed Methodology" by Lixi Liu, Jes Brossman, Yingli Lou technical report number NREL/TP-5500-88058. Results outline the potential impacts of the energy efficiency and electrification r...

Liu, . et al National Renewable Energy Laboratory

Nov 28, 2023
11 Resources
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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
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Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...

Faulds, J. et al Nevada Bureau of Mines and Geology

Jun 01, 2021
1 Resources
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PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...

Kratt, C. et al Oregon State University

Jan 09, 2019
6 Resources
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ResStock County/Household Income Assignment CHIA

These data tables are cross-tabulations that provide the distribution of households by household income, converted to Federal Poverty Level (FPL) or Area Median Income (AMI) bins, and tenure status (owner or renter), specified by location and various household characteristics incl...

Harris, . et al National Renewable Energy Laboratory

Jul 02, 2019
197 Resources
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Low-Income Energy Affordability Data LEAD Tool 2018 Update

The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low and moderate-income (LMI) communities t...

Ma, O. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy

Jul 01, 2020
57 Resources
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Low-Income Energy Affordability Data LEAD Tool 2022 Update

Ma, O. and Vimont, A. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy

Aug 01, 2024
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Efficiency and Demand Flexibility in Large Office Buildings

Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (https://doi.org/10.2172/1989231). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_...

McLaren, . et al National Renewable Energy Laboratory

Jan 13, 2023
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