# Overview
University of Geneva's Energy Efficiency Group's P2P solar communities with PV and batteries provides a python model for simulation of P2P local markets. The framework combines distributed energy resource modelling (e.g. for PV generation sources and battery energy storage systems), prosumer trading preferences, and energy market modelling, for one year.

The methods used are presented in detail in the following publication:

A. Pena-Bello, D. Parra, M. Herberz, V. Tiefenbeck, M. Patel and U.J.J. Hahnel; "Integrating prosumer trading preferences into the design of peer-to-peer energy communities"; Nature Energy, 2022

# Contributor
Alejandro Pena-Bello ([email protected])

📜 License Change Notice
Important: As of 26/05/2025, this project has been relicensed under the Apache License 2.0.

Previously, the code was licensed under the GNU General Public License (GPL). Since I am the sole author of all original source code in this repository, and no external GPL-licensed code has been included or derived from, I have chosen to relicense the project under the Apache License 2.0 to support broader use and integration.

Please refer to the LICENSE file for the current terms.