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 is known as forecast and optimise and has numerous applications, e.g., forecast demand for a product and then optimise inventory, forecast energy demand and schedule generations, forecast demand for a service and schedule staff, to name a few. In this extended abstract, we review a digital twin that was developed and applied in wastewater treatment in Urban Utility to improve their operational efficiency. While the current study is tailored to the case study problem, the underlying principles can be used to solve similar problems in other domains.
Abstract (translated)
预测和优化是两种在解决现实问题中应用广泛的技术。预测关注于估计一个变量的未知未来值，而优化关注于在所有可用数据的基础上优化决策。这些方法一起用于解决需要进行序列决策的问题，其中我们需要预测变量的未来值，然后使用它们来确定最优决策。这个范式被称为预测和优化，具有许多应用，例如预测某种产品的需求并优化库存，预测能源需求并安排生产计划，预测某种服务的需求并安排工作人员等。在本扩展摘要中，我们回顾了在城市污水处理中开发和应用的数字孪生，以提高其运营效率。虽然本研究针对案例研究问题进行了优化，但背后的原则可以用于解决其他领域类似的问题。
URL
https://arxiv.org/abs/2404.14635
