Increasing amounts of distributed generation in distribution networks can provide both
challenges and opportunities for voltage regulation across the network. Intelligent control of …

Type 1 diabetes mellitus (T1DM) is a common chronic disease in children and young
people. Living with diabetes can pose many challenges both medical and psychological …

Background Eating disorder diagnoses and disordered eating behaviours are more
prevalent in people living with Type 1 Diabetes Mellitus, in particular in adolescents. The …

Demand response (DR), where electricity consumption is shifted in response to incentive
signals, can ease the transition to renewable generation. However, when many devices …

As members of a Paediatric Diabetes Multidisciplinary Team, we have become increasingly
concerned by the number of young people we are seeing who have Type 1 diabetes (T1D) …

This paper describes the development of a phasor-based campus microgrid model utilizing
the Modelica language and the OpenIPSL library. The phasor-based modeling approach …

Energy arbitrage is typically a temporal process-buying energy when prices are low, and
selling when prices are high. However, the spatial variation in electricity prices could …

Traditional wisdom has dictated that in the Northern Hemisphere, residential rooftop
photovoltaic (PV) systems should be facing true south when possible to maximize energy …

This paper develops a reinforcement learning (RL) aggregator agent that intelligently
determines real-time electricity prices to achieve grid-level goals. A diverse community of …

This paper introduces a reinforcement learning framework which determines real-time
generator set-points in a dynamically changing environment in order to optimize a chosen …