DSM enabled operation optimisation strategy

The control/operation strategy will leverage the physical system model developed in Task 4.1 and apply suitable optimisation techniques to deliver optimal energy supply mix and scheduling of available energy assets for a requested (forecasted) demand profile and available flexibility. This flexibility will reflect different load types (e.g. critical, reschedulable and curtailable) and user defined comfort requirements to allow for application of Demand Side Management techniques (e.g. avoiding peak hour consumption, demand profile alignment with local generation profile etc.). The optimisation process will typically be employed to deliver day ahead scheduling but also to support intraday control actions. For the purpose of energy production and demand profile forecasting, different machine learning techniques will be tested (e.g. deep, convolutional ANN) while the optimisation will employ suitable linear or non-linear techniques, depending on the physical system modelling. This will be completed under task 4.1.