Explore @KTH-dESA Open Source projects

KTH division of Energy Systems (@KTH-dESA)

KTH-dESA

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73
Global Org. Rank 66,963 (Top 22 %)
Registered about 8 years ago
Most used languages

Python
61.5 %

Jupyter Notebook
38.5 %
Location 🇸🇪 Sweden
Country Total Rank 2,496
Country Ranking

Jupyter Notebook
95

Python
491

OnSSET-2016

Python implementation of the Open Source Spatial Electrification Tool (OnSSET).

esom_gsa

snakemake workflow for performing a global sensitivity analysis of an OSeMOSYS model

Jupyter Notebook

OSeMBE_ECEMF

This repository contains the scenarios modelled in OSeMBE throughout the H2020 project ECEMF -European Climate and Energy Modelling Forum.

Jupyter Notebook

jrc_temba

FAO

SDGs-IAE-Framework

Sustainable Development Goals impact assessment framework for energy projects (SDGs- IAE)

osemosys_workflow

OnSSET-Jupyter-UI

Simplified OnSSET version for Jupyter Notebook

Jupyter Notebook

OSeMOSYS-SE

This repository contains an OSeMOSYS model of Sweden

demos

Demonstration code and examples showing best practice

Jupyter Notebook

dual_values

MJ2383

Jupyter Notebook

OnSSET-GEP

This repository contains the source code of OnSSET as used in the Global Electrification Platform

vizymosys

An experiment in different approaches to visualise OSeMOSYS results.

GSA_Spatial_temporal

Cluster-based_extraction_OnSSET

Developed in order to facilitate the GIS extraction for OnSSET when the population base layer in the analysis is a polygon layer

PopCluster

PopCluster is a QGIS plugin that uses raster population, night-time light and administrative boundaries layers to generate vector based (polygon) population settlements or else "population clusters".

tech_deleter