Resubmission MUS: Predicting water demand using advanced data analytics

水是一种日益珍贵的有限资源，必须以可持续的方式加以管理。据估计，英国供水网络中由于漏水而造成的水损失为22%，而准确预测和识别用水量的能力是识别漏水发生地点的关键部分。该项目旨在汇集来自不同来源的数据集，这些数据集以前从未以这种方式使用过，并结合先进的数据技术和技能，以改善约克郡水务公司的泄漏发现和修复活动。

Water is an increasingly precious, finite resource that must be managed sustainably. Water loss due toleakage across the UK water distribution network is estimated at 22% and the ability to predict andidentify water consumption accurately is a key part of the ongoing process to identify where leakageis occurring. This project aims to bring together data sets from diverse sources, which have not beentraditionally used in this way previously, and advanced data technology and skills, to improve leakagefind and fix activities in a pilot with Yorkshire Water.