BL4DSM - Building-Based Load Forecasts for Demand Side Management

Project Leader: Wolfgang Kastner (TU Wien)

Project Leader University of Innsbruck: Rainer Pfluger

Project Assistants: Gabriel Rojas

 Project Partners

  • TU Wien - Institut für Rechnergestützte Automation - AB Automatisierungssysteme
  • AIT Austrian Institute of Technology GmbH - Energy Department
  • Danish Technical University (DTU) -Dep. of Applied Mathematics and Computer Science - Dynamical Systems / Statistics
  • KU Leuven - Dep. of Civil Engineering - Building Physics Section

Funding Agency: FFG: Energieforschungsprogramm – 1. Ausschreibung

Project Period: 01.04.2015 - 30.06.2016


The goal of this study is to improve the decisions of Demand Side Management in smart grids by finding out whether and which monitoring parameters from buildings should be made available for this purpose. The objective of this pre-study is to clarify whether a grid-friendly building which volunteers information about its thermal properties already at building construction respectively after an energy renovation is of value to a flexibility operator in a smart grid. This will enable to determine on the building side which configurations in building automation systems would be available for this purpose.
The University of Innsbruck supplies the project with “synthetic measurement data” for the identification of greybox models, which depict the dynamic energetic behavior of residential buildings/neighborhoods in simple but yet accurate manner for demand side management. Therefore a large number of residential buildings with different design parameters where modelled and simulated using stochastically generated input data (occupant behavior).


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