The aim of research is to develop enhanced models for load and control response forecasting required by dynamic optimisation of demand response (DR) actions and network operation in a future sustainable energy system. The project is carried out in the multi-disciplinary research consortium with wide scientific expertise including units from Tampere University, University of Eastern Finland and VTT.
The research methods include various mathematical and statistical methods (e.g. artificial neural networks, support vector machines, Bayesian methods, Kalman filtering, modern control and optimization methods). Large smart metering data sets and field tests are used together with open data (i.e. weather, building and socioeconomic grid data) in modelling.
Goal
Demand response is one of main key issues in adaptation of energy production and consumption and in creating flexibility to integrated electrical energy system. Demand response has also essential role and one of the main themes of the New Energy research programme of Academy of Finland. RESPONSE project is funded by the New Energy research programme.
Funding source
Academy of Finland
Contact persons
Pertti Järventausta
Professor
pertti.jarventausta [at] tut.fi
+358 40 549 2384