High resolution, sector-coupled model of the German Energy System

This repository includes relevant code associated with the book "Fundamentals of Solar Cells and Photovoltaic Systems Engineering"

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se…

PtX-BOA is a tool which allows users to calculate the delivered cost of PtX molecules from an export country to an import country, with a detailed cost breakdown comparison highlighting the competi…

Path to Zero: The Electricity Decarbonization Game. Created and designed by Jesse D. Jenkins https://mae.princeton.edu/people/faculty/jenkins

PyPSA Model of the South African Energy System

Class material for EST603 Energy Systems Analysis 2022 Fall

Build and run a PyPSA network from an Excel table; suitable for users with little programming experience

Python interface for the SCIP Optimization Suite

PIPS-IPM++ - a massively parallel interior point method for primal-dual block angular Linear Programms

PyPSA-PL: optimisation model of the Polish energy system

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

model.energy/future: Future power systems with today's weather

High resolution, sector-coupled model of the German Energy System

A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.

Open modelling of European power systems in Python: a proof-of-concept

This repository contains the script to read the PYPSA-Eur-Sec networks v0.0.2 and write the data in the format compatible with IPCC 6AR.

Helpers to facilitate working with pandas indices in particular multiindices

The Demand.ninja model

🔍 Extract underlying data from vector charts.

PyPSATopo is a tool that allows generating the topographical representation of any arbitrary PyPSA-based network

Pandas support for pint

Operate and manipulate physical quantities in Python

Database with efficiency parameters from public Heatpump Keymark datasets as well as parameter-sets and functions in order to simulate heat pumps (manufacturer+model or generic type)

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Vectorized vector I/O using OGR

Streamlit module that works along a stable package version