The goal of this project is to apply data analytics methods to improve energy efficiency in buildings based on automatic description of monitoring data, prediction of future energy needs and prescribing measures to reduce energy usage. By continuously collecting real-time monitoring data, the algorithms can automatically improve prediction accuracy and prescribe better decision options. Methods such as data mining of monitoring data, forecasting and simulations are used to create decision recommendations for optimization of building energy efficiency. By optimizing the energy consumption to the needs of occupants and energy availability from renewable sources the solution can maximize the comfort and reduce the costs for energy.
Project start: October 2015
Project duration: 36 months
Project partners: AIT Austrian Institute of Technology GmbH (Lead), Vienna University of Technology, Automation Systems Group, UBIMET GmbH, Caverion Österreich GmbH
Funding line: 3rd call, ICT of the Future, 2014
Project website: http://www.ada-ee.org/
AIT contact: Filip Petrushevski
Links to publications: http://ieeexplore.ieee.org/document/7733630/