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Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa
Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa (for corresponding…
high-throughput
compositional analysis
NIST
NMR Spectra
Biomass
PLS Model
Genome-wide Transcription Factor DNA Binding Sites and Gene Regulatory Networks in Clostridium thermocellum
Clostridium thermocellum is a thermophilic bacterium recognized for its natural ability to effectively deconstruct cellulosic biomass. While there is a large body of studies on the genetic engineering of this bacterium and its physiology to-date, there…
transcriptional regulatory networks
Clostridium thermocellum
regulon
transcription factor
DNA binding site
bioinformatics
DAP-seq
ATP3 Unified Field Study Data
ATP3 Unified Field Study DataThe Algae Testbed Public-Private Partnership ATP3 was established with the goal of investigating open pond algae cultivation across different geographic climatic seasonal and operational conditions while setting the benchmark…
algae
biofuel
cultivation trials
harvest yields
Biomass
UFS
modeling and analysis
fuels
testbed
cultivation strategies
algal productivities
ponds
media
2013-2015
Nannochloropsis oceanica
Chlorella vulgaris
Desmodesmus cf intermedius
Arizona State University
Cellana
Cal Poly San Luis Obispo
Georgia Tech
Arizona
Georgia
California
Hawaii
Florida
Ohio
Florida Algae
TRL Corp
Continental USA
Unified Field Studies
biochemical
renewable energy
Opportunities for Solar for Industrial Process Heat in the United States
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
solar industrial process heat
heat pumps
PV
technical potential
concentrating solar power
Solar Futures Study Databook
The Solar Futures Study explores pathways for solar energy to drive deep decarbonization of the U.S. electric grid and considers how further electrification could decarbonize the broader energy system.
This workbook contains data behind most figures…
solar
rooftop solar
utility-scale solar
concentrating solar power
photovoltaics
energy analysis
Solar Futures Study
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…
dGen
Distributed Generation Market Demand Model
adoption
solar adoption
solar
photovoltaic
PV adoption
agent based model
techno-economic modeling
TEA
techno-economic analysis
dGen alpha release
RiDER
Resilient Planning for Distributed Energy Resources
agent based modeling
dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents
Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.
solar
adoption
solar adoption
photovoltaic
PV adoption
agent based model
techno-economic analysis
techno-economic modeling
RiDER
Resilient Planning for Distributed Energy Resources
Block Scale Rooftop Solar Technical Potential for the City of Orlando
The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for…
rooftop solar
parcel scale
solar technical potential
Orlando
PV
building roof area
Battery inverter experimental data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We…
battery inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter experimental data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter