tkneiske

tkneiske's Stars

• PyPSA/PyPSA

  PyPSA: Python for Power System Analysis

  Language:Python1.3k74376474

• e2nIEE/pandapower

  Convenient Power System Modelling and Analysis based on PYPOWER and pandas

  Language:Python912541k490

• PyPSA/atlite

  atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

  Language:Python28715126101

• JuliaDatabases/SQLite.jl

  A Julia interface to the SQLite library

  Language:Julia2261620080

• e2nIEE/simbench

  Electrical Power System Benchmark Dataset directly usable with pandapower (use the project website for other tools)

  Language:Python10963229

• Tooblippe/pandapower_gui

  A Graphical User Interface for the open source pandapower load flow program. [ I was so inexperienced when I started this, but maybe we can try again]

  Language:Python397813

• openego/eDisGo

  Optimization of flexibility options and grid expansion for distribution grids based on PyPSA

  Language:Python38723214

• openego/eTraGo

  Optimization of flexibility options for transmission grids based on PyPSA

  Language:Python35839613

• openego/ding0

  DIstribution Network Generat0r

  Language:Python34103207

• e2nIEE/pandapower-paper

  Language:Jupyter Notebook18327

• openego/data_processing

  (geo)data processing, database setup, data validation

  Language:TSQL7132575

• openego/ego.powerflow

  A power flow app to solve AC and DC powerflow problems using PyPSA

  Language:Python57293

• openego/ego.io

  Language:Python48433

• openego/oemof.powerflow

  Integration of PyPSA into oemof

  3561

• openego/osmTGmod

  Open source German transmission grid model based on OpenStreetMap

  Language:PLpgSQL38141

• openego/PyPSA

  PyPSA: Python for Power System Analysis

  Language:Python3801

• zerotonin/igloo

  Here we present a mathematical model that estimates the behaviour of individual Drosophila in temperature gradients. The model takes the spatial dimension and temperature difference of the gradient into account, as well as the rearing temperature of the flies. Furthermore, it allows quatifying cold-trapping, reveals true temperature preference, and differentiates between temperature preference and tolerance. An online version application of the code can be tested at http://igloo.uni-goettingen.de.

  Language:Python3201

• openego/eGo_app_demand

  The app employs the oemof demandlib to generate demand time series for open_eGo project

  Language:Python1501

• openego/example_code

  Language:Python1501

• openego/platform_workshop

  Language:Python1601

• openego/tsam

  A python-based time series aggregation module (tsam) which can be used to create typical periods for energy systems models

  Language:Jupyter Notebook190