Now that the use of renewable energy sources within our electricity network is on the increase, there is a growing demand for new technologies and processes that enable those energy sources to be integrated within the existing model. Interoperability forms a crucial challenge with regard to the energy market of tomorrow.

Identifying and smartly controlling flexible consumers is essential, both to provide load-balancing on a system level and to prevent or resolve local network issues. Buildings equipped with local (PV) production, batteries (stationary or in the form of an electric vehicle) and electrical (heat-pump based) heating, cooling and hot water production systems are highly suitable for this. Utilising and valorising this flexibility also dovetails with the vision and ambition to engage prosumers as more active participants in the energy system by allowing them to valorise their available flexibility as a support service.

Publications

Distributed optimization for scheduling energy flows in community microgrids
Year: 
2020
Journal: 
ELECTRIC POWER SYSTEMS RESEARCH
Mbuwir, BV; Spiessens, F; Deconinck, G
Reinforcement learning for control of flexibility providers in a residential microgrid
Year: 
2020
Journal: 
IET SMART GRID
Mbuwir, BV; Geysen, D; Spiessens, F; Deconinck, G
Using reinforcement learning for maximizing residential self-consumption - Results from a field test
Year: 
2020
Journal: 
ENERGY AND BUILDINGS
Soares, A; Geysen, D; Spiessens, F; Ectors, D; De Somer, O; Vanthournout, K
Distributed Optimization Algorithm for Residential Flexibility Activation-Results From a Field Test
Year: 
2019
Journal: 
IEEE TRANSACTIONS ON POWER SYSTEMS
Soares, A; De Somer, O; Ectors, D; Aben, F; Goyvaerts, J; Broekmans, M; Spiessens, F; van Goche, D; Vanthournout, K
Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data
Year: 
2018
Journal: 
SOLAR ENERGY
Lago, J; De Brabandere, K; De Ridder, F; De Schutter, B

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