Standard data-science practice first builds a forecasting model for uncertain elements (for example, demand) and then feeds it into an optimisation model that picks the best course of action. The project builds prescriptive models that integrate both steps and applies them to energy planning, a data-rich field with a long tradition of optimisation under uncertainty.