Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment

arXiv:2404.14635v1 Announce Type: new
Abstract: Prediction and optimisation are two widely used techniques that have found many applications in solving real-world problems. While prediction is concerned with estimating the unknown future values of a variable, optimisation is concerned with optimising the decision given all the available data. These methods are used together to solve problems for sequential decision-making where often we need to predict the future values of variables and then use them for determining the optimal decisions. This paradigm …

abstract applications arxiv cs.ai cs.lg decision digital digital twins forecasting found future machine machine learning optimisation prediction real-world problems the unknown treatment twins type values wastewater world