Nonlinear temporal and spatial forecasting: modelling and uncertainty analysis (NoTeS) – MASIT20

NoTeS project is developing a generic toolset for spatio-temporal forecasting and forecast uncertainty analysis through analyzing five widely different test cases: forecasting energy consumption, diagnosing quality variations at a pulp mill, estimating and controlling paper quality on the basis scanning sensors, supporting operational decisions at nuclear power plant, and segmenting medical images. An abstract set of functions common to all these applications – with possible exception of image segmentation – has been identified, and the corresponding structures for data, models and estimates specified. The project is in stage in which the test cases have demonstrated practical relevance and economic potential and in which the specification work for generic toolset is stabilizing.