Resubmission MUS: Predicting water demand using advanced data analytics

重新提交 MUS：使用高级数据分析预测需水量

• 批准号: 230032
• 金额: $ 5.35万
• 依托单位: MORRISON UTILITY SERVICES LIMITED
• 依托单位国家: 英国
• 项目类别: Procurement
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=230032
• 关键词: Resubmission; MUS; Predicting; water; demand

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.

水是一种日益宝贵的有限资源，必须以可持续的方式加以管理。由于英国供水管网泄漏造成的水损失估计为22%，准确预测和识别水消耗的能力是确定泄漏发生地点的持续过程的关键部分。该项目旨在汇集来自不同来源的数据集（以前从未以这种方式使用过）以及先进的数据技术和技能，以改善与约克郡水务公司的试点中的泄漏查找和修复活动。