Search Page
Search results
20 results found
South Park Mountain Data: South Park, Colorado (Data)
South Park, Colorado data including "Live" data and plots, updated every 2 hours.
Daily plots and raw data files, are available from March 28, 1997 to yesterday.
Solar Calendars, are available from March 1997 to the present month.
Wind roses (monthly,…
midc
solar
irradiance
meterological
measurement
instrumentation
solar calendar
wind rose
display
weather
outdoor
global
temperature
humidity
wind
silicon
South Park
renewable energy
RE
Distributed Solar Technoeconomic Agent Characteristics dSTAC
These data files summarize key techno-economic metrics used in the NREL dGen model for modeling adoption of distributed solar by representative residential commercial and industrial entities for each county in the continental United States. As described…
distributed solar PV
capacity factor
roof
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
2016 Annual Technology Baseline
Current and future cost and performance data for electricity generating technologies, including both renewable and conventional technologies.
wind
PV
photovoltaic
concentrating solar power
LCOE
geothermal
hydropower
CAPEX
overnight capital cost
cost and performance
projection
RE
US
renewable energy
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
Split phase inverter 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 8.35 kW off-the-shelf grid following split phase PV inverter in the…
split phase inverter
PV inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
database for model validation
PV inverter experimental dataset version 2 with 100 percent power
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
Grid Connected Functionality
Dataset demonstrating the potential benefits that residential buildings can provide for frequency regulation services in the electric power grid. In a hardware-in-the-loop (HIL) implementation, simulated homes along with a physical laboratory home are…
frequency regulation
building-to-grid
home energy management
volttron
aggregator
connected appliances
Energy Systems Integration Facility
ESIF
Golden
colorado
electricity
power grid
residential buildings