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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

1573

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

789

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

110

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

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

AutoPV

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

Energy
Ensemble
ESD
+ 4

Python

PyAPI-RTS

A Python library to read and manipulate RSCAD® draft files, used for power system modeling and simulation on RTDS simulators.

Energy
ESD
Modelling
+ 1

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