Presentation on YouTube.

In the first part of this talk, a smart energy management scheme based on a non-cooperative dynamic game approach will be presented. The game participants compete for the lowest electricity bill by scheduling their individual energy storage systems. The developed system takes advantage of a pricing tariff offered by a utility company that aims at flattening the aggregated load of a neighbourhood of households during peak times. Simulations show whether a game theoretic approach between households is more efficient than an individualistic one and if a near-constant load can be achieved when a critical mass of battery owners is available. In the second part of this talk, the energy scheduling game will be mapped to address the issue of the shortage of Personal Protective Equipment (PPE) that occurred during the COVID-19 outbreak. Experiments conducted for NHS England regions using actual data confirm that the challenge of securing PPE supply during disasters such as COVID-19 can be eased if specific stock management procedures are adopted.