Automated Cognitive Energy Management Engine (ACEME)
The proposed Engine will employ machine learning predictive algorithms and have the capability to operate within multiple time-scales while harmonizing the power generation with the power-heating-cooling demand of the building.
The project will simplify communication with newly developed as well as legacy systems through the deployment of iGateway, aiming to deliver insightful data for the subsystems they are connected to, through their embedded intelligence.
Building Energy Plant Planning Tool (BE-PLATO)
This module will work in conjunction with the RE-COGNITION marketplace and will allow the building stakeholders to make informed decisions on whether or not to install RES equipment on their building or to adapt and/or expand the existing RES generation infrastructure.