Uncertainty

COOLER at Stanford

To enable low-carbon, electrified community energy systems using Stanford campus as a real-life testbed.

AMiDine in the UK

To devise analytics that link point measurement to whole system to address the increasingly problematic management of electrical load on distribution networks as the UK transitions to a low carbon energy system.

Quantifying Uncertainty in Aggregate Energy Flexibility of Building Clusters

To quantify the uncertainty in the aggregate energy flexibility of residential building clusters using a data-driven stochastic occupancy model that can capture the stochasticity of occupancy patterns.