Advanced Data Analytics for Energy Efficiency

01.10.2015 - 31.12.2018
Research funding project

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 realtime 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 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.

People

Project leader

Project personnel

Institute

Grant funds

  • FFG - Österr. Forschungsförderungs- gesellschaft mbH (National) Group Thematic programme Austrian Research Promotion Agency (FFG) Call identifier IKT der Zukunft - 3. Ausschreibung (2014) Specific program IKT der Zukunft

Research focus

  • Computer Engineering: 50%
  • Energy Active Buildings, Settlements and Spatial Infrastructures: 20%
  • Computational Intelligence: 30%

Keywords

GermanEnglish
Energieeffiziente GebäudeEnergy efficient buildings
EnergieinformatikComputer science for power and energy systems
Simulationsimulation
Enerneuerbare EnergienRenewable energy
DatenanalyseData Mining and Analysis

External partner

  • AIT Austrian Institute of Technolog GmbH
  • Caverion
  • UBIMET GmbH

Publications