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"
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.
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.
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