All software
REMix
REMix is a powerful software for energy systems optimization. It can be used for the planning and techno-economical assessment of future multi-energy systems of any spatial, temporal and technological scope. REMix offers a wide range of methods and features that can be flexibly selected by the user.
- Energy
- Energy planning
- ESD
- + 5
- GAMS
- Python
- Dockerfile
ETHOS.FINE - Framework for Integrated Energy System Assessment
ETHOS.FINE provides a framework for modeling, optimizing and assessing energy systems. Systems with multiple regions, commodities and time steps can be modeled. Target of the optimization is the minimization of the total annual cost while considering technical and environmental constraints.
- Energy
- Energy planning
- ESD
- + 6
- Python
- Dockerfile
ETHOS.TSAM
tsam is a python package which uses different machine learning algorithms for the aggregation of time series.
- ESD
- ESD - Topic 1
- Python
- HTML
AMIRIS
AMIRIS is the open Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. It aims at enabling scientists to dissect the complex questions arising with respect to future energy markets, their market design, and energy-related policy instruments.
- Agent-based Model
- electricity
- Energy
- + 4
- Java
- Python
- BibTeX
FlexiGIS
FlexiGIS is a software tool for processing and analysing GIS-based data to design urban energy systems. Models developed with FlexiGIS enable the exploration and assessment of flexibility options in cities.
- Data analysis
- Energy
- Energy planning
- + 4
- Python
- Makefile
ETHOS.RESKit
RESKit aids with the broad-scale simulation of renewable energy systems, primarily for the purpose of input generation to Energy System Design Models.
- Concentrated Solar Energy
- ESD
- ESD - Topic 1
- + 4
- Python
- HTML
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
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
ETHOS.GLAES
GLAES is a framework for conducting land eligibility analyses and is designed to easily incorporate disparate geospatial information from a variety of sources into a unified solution.
- ESD
- ESD - Topic 1
- Python
- Batchfile
- Shell
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
Copy-Paste Imputation (CPI) for Energy Time Series
This project provides a Python implementation of an imputation method for energy time series. The CPI method copies data blocks with similar characteristics and pastes them into gaps of the time series while preserving the total energy of each gap.
- Earth & Environment
- Energy
- ESD
- + 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