Intelligent pattern recognition of water end uses enabling recommendations

水端用途的智能模式识别可提供建议

• 批准号: DP230100153
• 负责人: Prof Hong Zhang
• 金额: $ 29.51万
• 依托单位: Griffith University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-02-01 至 2026-01-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100153
• 关键词: Intelligent; pattern; recognition; water; end

This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project benefits include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.

该项目旨在开发一种混合机器学习方法，用于自动将从智能电表接收的高分辨率和低分辨率水流数据分解为离散的最终使用事件，并开发一种定制的推荐系统，以实现高效的资源需求管理。项目的新颖性和意义与高级传感器中的数据集的耦合和自主分解相关，从而实现更高效的公用事业服务交付和更低的客户公用事业账单。项目的好处包括使公用事业公司能够在信息时代更好地管理和规划资源，同时向客户提供实时的水最终使用数据和改变行为的消费建议。