This paper explains how the Dedalus project leverages AI-driven methodologies to optimize demand response in building energy management, enhancing efficiency and sustainability by dynamically aligning energy consumption with market needs.
This NTUA's paper presents a machine learning framework to optimize demand-response programmes by clustering electricity consumers. Conducted with DEDALUS, it offers a scalable solution for targeted energy management.
This study, released by the Technical University of Cluj-Napoca, explores blockchain token valuation, identifying key market factors and applications to enhance DEDALUS demand-response strategies through innovative tokenomics.
The new EU-funded project Dedalus, launched in June 2023, aims to develop and demonstrate an optimized demand-response ecosystem for residential buildings. With a consortium of 23 partners from 9 countries, the project is set to run for three years.