Turns Data and AI algorithms into production-ready web applications in no time.
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Updated
May 29, 2024 - Python
Turns Data and AI algorithms into production-ready web applications in no time.
Model of the Italian energy system from 2006 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.
[Under active development] - A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
A data warehouse for high-powered scenario analysis in the domain of integrated assessment of climate change and energy systems modeling
🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
Tools for Stochastic Simulation using diffusion models (R).
Open model and data for SWITCH-China
MAHTEP version of the TEMOA (Tools for Energy Model Optimization and Analysis) energy system modeling tool
Model of the Piedmont (Italian region) energy system from 2011 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.
Track app scenarios with precision using telemetry markers 📈
Gradution thesis on evaluating climate mitigation scenario
A Python library to build powerful and customized data-driven back-end applications.
TIMES-Ireland Model (TIM)
TIMES-DK energy system optimisation model
MetaScenario: A Framework for Driving Scenario Data Description, Storage and Indexing
Scrolly-telling viz for comparing scenarios in the service allocation study
Tutorial notebook of the pyam package
Provide a Stated Preference (SP) Survey analysis focusing separately on experimental design, questionnaire creation and SP econometrical analysis
Productivity App
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