oemof-B3 | An open-source energy system model for Brandenburg/Berlin

 by   rl-institut Python Version: v0.0.2 License: AGPL-3.0

kandi X-RAY | oemof-B3 Summary

kandi X-RAY | oemof-B3 Summary

oemof-B3 is a Python library. oemof-B3 has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However oemof-B3 build file is not available. You can download it from GitHub.

An open-source energy system model for Brandenburg/Berlin.
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            kandi-support Support

              oemof-B3 has a low active ecosystem.
              It has 10 star(s) with 4 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 33 open issues and 89 have been closed. On average issues are closed in 136 days. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of oemof-B3 is v0.0.2

            kandi-Quality Quality

              oemof-B3 has no bugs reported.

            kandi-Security Security

              oemof-B3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              oemof-B3 is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              oemof-B3 releases are available to install and integrate.
              oemof-B3 has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed oemof-B3 and discovered the below as its top functions. This is intended to give you an instant insight into oemof-B3 implemented functionality, and help decide if they suit your requirements.
            • Calculates ground - mounted pv area potential
            • Calculate power potential
            • Calculate the area potential for a given area
            • Adds the names of the kreiseans to the given dataframe
            • Prepare vehicle charging demand
            • Adjusts the cumulative profile of each day
            • Return a new DataFrame with a subset of values
            • Get heat demand data for a given scenario
            • Helper function to add a value to the demand
            • Create a production table from scalars
            • Add output_parameters to energies
            • Multiply a Pandas DataFrame by multiple combinations
            • Convert scalars into a data package
            • Annuise the expense of each scenario
            • Convert time series data into DataPackage
            • Expand a scalar
            • Plot a grouped bar chart
            • Get the share of FH and MFH
            • Prepare conv_pp for convolution
            • Calculates the heat load for a given carrier
            • Calculate potential wind area potential
            • Prepare a time series dataframe
            • Prepare wind time series
            • Prepare load profile time series
            • Calculate the cops ratio
            • Load additional scalars
            Get all kandi verified functions for this library.

            oemof-B3 Key Features

            No Key Features are available at this moment for oemof-B3.

            oemof-B3 Examples and Code Snippets

            No Code Snippets are available at this moment for oemof-B3.

            Community Discussions

            No Community Discussions are available at this moment for oemof-B3.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install oemof-B3

            You can download it from GitHub.
            You can use oemof-B3 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/rl-institut/oemof-B3.git

          • CLI

            gh repo clone rl-institut/oemof-B3

          • sshUrl

            git@github.com:rl-institut/oemof-B3.git

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