RESPONSE – Improved Modelling of Electric Loads for Enabling Demand Response by Applying Physical and Data-Driven Models

The aim of the project is to develop enhanced models for load and control response forecasting required by dynamic on-line optimization of demand response (DR) actions and network operation in a future sustainable energy system. DR is one of the key issues in adaptation of energy production and consumption and in creating flexibility to integrated energy systems. In addition to DR also other novel forthcoming Smart Grid related functions like price elasticity, customer level micro generation and electric vehicles affects distribution network loads and these effects should be taken into account in the load models.
The project is carried out in the multi-disciplinary research consortium with wide scientific expertise including units from Tampere University of Technology, University of Eastern Finland and VTT.

Research project focuses on the following objectives:
1. Developing improved models for short term load forecasting and optimization of electric load dynamic responses to load control actions and weather variations.
2. Analyzing and developing criteria for comparing the performance of the short term load forecasting.
3. Enhancing utilization of smart metering data and other spatial information in updating and verification of load response models.
4. Proving that the developed load modelling methods improve the state estimation and network analysis accuracy.


Pertti Järventausta

Project Leader, Tampere University of Technology

CLIC Innovation