A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.

Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"

Smart power manager for optimized solar power usage as well as greenest and cheapest energy purchase

Data and code of my paper "Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources"

A curated list of awesome projects applying reinforcement learning (RL) to building control.

Software for the use of Multi-agent Systems in Virtual Power Plants to realize Demand Response Mechanisms

An open source software to model branch- and technology-specific electricity load profiles in the tertiary sector and analyse potentials of demand side response measures.

OpenADR-2B-PyServer is a free, open-source, and secure implementation of an OpenADR 2.0B server written in Python. Utilizing the OpenLEADR library, this project aims to provide a robust and reliable platform for Automated Demand Response (ADR) solutions.

A silly simulation to try and mimic real life HVAC problems to solve.

Targeted demand response for flexible energy communities

Repository of FlexDR application developed within I-NERGY project.

MoMeEnT Adaptive Survey is a Flask-based web app for model-driven adaptive surveys, integrating real-time feedback with simulation models. It explores load-shifting in energy consumption, helping users assess cost, carbon impact, and grid effects based on their behavior. Runs locally for easy testing.