Utilizing novel data sets and prediction methods to better identify and engage with customers in vulnerable circumstances and encourage sustainable water consumption in the residential sector

利用新颖的数据集和预测方法更好地识别和吸引处于弱势的客户，并鼓励住宅领域的可持续用水

• 批准号: 10008785
• 金额: $ 33.77万
• 依托单位: ADVIZZO LTD
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10008785
• 关键词: Utilizing; novel; data; sets; prediction

Whether it's the day-to-day use of water in the home, the use of water for increased hygiene measures in the fight against Covid-19, or for recreational activities, the pandemic has shown how central this valuable resource is to our everyday lives. It is however a resource that can no longer be taken for granted with an increasing number of households facing water affordability challenges (a challenge compounded by the Covid pandemic) and with continued pressures on water supplies globally.Combining emerging concepts in Big Data, behavioural science and machine learning, this project seeks to develop accurate residential water end-use demand forecasting models (providing similar functionality in assessing customer consumption and demand forecasting as smart meters which has seen limited adoption in the UK water industry) with the specific the aim of addressing priority challenges which include:-Better identifying and supporting vulnerable customers,-Achieving an improved understanding of customer demand to help monitor and avert potential household water-efficiency problems eg leaks,-Optimise the use of data around consumption patterns to truly understand and influence customer behaviour.-Helping households to reduce water consumption and practice more sustainable behaviours with guidance to achieve this, specific to that household.The approach has been specifically designed with input from the UK's Water utility companies and driven by stated objectives from Regulatory bodies including Ofwat and Ofgem for the improved use of data to address these critical challenges.If successful, the project will deliver significant benefit for Utilities, Regulators and customers with the potential address a recognised sustainability and social challenge that could positively impact every UK household. The solution could also be exploited across wider utility markets including energy where similar challenges exist along with wider geographical territories.

无论是家庭的日常用水，还是抗击新冠肺炎的卫生措施，还是娱乐活动，此次疫情都表明了这种宝贵的资源对我们的日常生活是多么重要。然而，随着越来越多的家庭面临水价挑战(这一挑战因Covid大流行而加剧)以及全球供水的持续压力，它不再是一种理所当然的资源。该项目结合大数据、行为科学和机器学习中的新兴概念，寻求开发准确的住宅用水最终使用需求预测模型(提供类似于评估客户消费和需求预测的功能，智能电表在英国水务行业的应用有限)，具体目的是解决优先挑战，包括：-更好地识别和支持脆弱客户，-更好地了解客户需求，帮助监控和避免潜在的家庭用水效率问题，如泄漏；-优化使用有关消费模式的数据，以真正了解和影响客户行为。-帮助家庭减少用水量，实践更可持续的行为，并为实现这一目标提供指导，特别是针对家庭。该方法是根据英国自来水公司的意见专门设计的，并由包括Ofwat和Ofgem在内的监管机构提出的目标驱动，以改进数据使用，以应对这些关键挑战。如果成功，该项目将为公用事业公司带来巨大的好处。监管机构和有潜力的客户应对一个公认的可持续性和社会挑战，这可能会对每个英国家庭产生积极影响。这一解决方案还可以在更广泛的公用事业市场上加以利用，包括能源市场，在这些市场中，存在着类似的挑战以及更广泛的地理区域。