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FLASC provides a rich suite of analysis tools for SCADA data filtering & analysis, wind farm model validation, field experiment design, and field experiment monitoring.
Note: Further documentation is available at https://nrel.github.io/flasc/
FLASC provides a rich suite of analysis tools for SCADA data filtering, analysis, wind farm model validation, field experiment design, and field experiment monitoring.
The repository is centrally built around NRELs in-house FLORIS
wind farm model, available at
https://github.com/nrel/floris. FLASC also largely relies on the energy ratio
, among others,
to quantify wake losses in synthetic and historical data, to perform turbine northing calibrations,
and model parameter estimation.
For technical questions or concerns, please email paul.fleming@nrel.gov.
We recommend installing this repository in a separate virtual environment.
After creating a new virtual environment, clone this repository to your local
system and install it locally using pip
. The command for this is pip install -e flasc
.
If installing for develop, follow the developer install instructions
Documentation is provided via the included examples folders as well as online documentation.
FLASC leverages the following GitHub features to coordinate support and development efforts:
Your feedback is crucial in this environment, as it helps identify areas for enhancement, resolve issues, and ensure the project meets the needs of its users. By sharing your insights and suggestions, you contribute to the project's evolution and success.
Generally, the first entry point for the community will be within one of the categories in Discussions. Ideas is a great spot to develop the details for a feature request. Q&A is where to get usage support. Show and tell is a free-form space to show off the things you are doing with FLORIS.
BSD 3-Clause License
Copyright (c) 2024, Alliance for Sustainable Energy LLC, All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
FAQs
FLASC provides a rich suite of analysis tools for SCADA data filtering & analysis, wind farm model validation, field experiment design, and field experiment monitoring.
We found that flasc demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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