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HIFIS Software Spotlights

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1-12 of 15

oemof.solph

oemof.solph is a model generator for energy system modelling and optimisation. It facilitates the formulation of (mixed-integer) linear programs from a generic graph-based structure, allowing to create multi-sector models on different levels of detail with user-defined time-resolution.

Energy
Energy System Analysis
ESD
+ 2

Python
Batchfile

MFDFA

The Python package `MFDFA` provides the tools to perform a multifractal detrended fluctuation analysis that enables the investigation of stochastic processes where long-range memory and persistence are necessary to consider.

Data analysis
Energy
ESD
+ 3

Python

COMANDO

COMANDO is a next generation modeling framework for Component-Oriented Modeling and optimizAtion for Nonlinear Design and Operation of integrated energy systems.

Energy
ESD
ESD - Topic 2

Python

kramersmoyal

The Python package `kramersmoyal` provides functions to analyze stochastic drift-diffusion and discontinuous stochastic processes in observational and experimental data.

Data analysis
Drift-Diffusion
Energy
+ 5

Python
TeX

AutoPV

Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.

Energy
Ensemble
ESD
+ 4

Python

Emipy

Emipy is a Python package to access, manipulate, analyze and visualize data on various pollutants, which is collected in the European Pollutant Release Register (E-PRTR). Therefore, it enables the easy use of this data for research in different fields (e.g., public health or energy system analysis).

Data analysis
Earth & Environment
Energy
+ 3

Python

GasNetSim

GasNetSim is a simulation package designed for gas network steady-state simulation. It supports the steady-state natural gas network simulations with different gas mixture compositions, thus enabling accurate analysis of the impacts of hydrogen injection on the gas network.

Energy
ESD
ESD - Topic 2
+ 1

Jupyter Notebook
Python

JumpDiff

The python package `JumpDiff` offers methods to generate and analyze stochastic processes that are described by a jump-diffusion process.

Data analysis
Energy
ESD
+ 4

Python

LinMOG

LinMOG is a collection of tools for the generation of linear models for univariate and multivariate functions. Furthermore, the linear model can be automatically transformed into a MILP optimization formulation.

Energy
ESD
ESD - Topic 2
+ 3

Python

AutoPQ

Automated point forecast-based quantile forecasts

Energy
ESD
ESD - Topic 2
+ 3

Python

Alice2Modelica

This tool allows for the automated generation and calibration of white-box modelica room models based on a room description in the mini-language Modelica.

Energy
ESD
ESD - Topic 2
+ 3

Python

AutoWP

Automated wind power forecasts with limited computing resources using an ensemble of diverse wind power curves.

Energy
Ensemble
ESD
+ 4

Python