Urban Water Demand Forecasting System for the City of Montreal

蒙特利尔市城市用水需求预测系统

• 批准号: 566175-2021
• 负责人: Chebana, Fateh
• 金额: $ 1.82万
• 依托单位: Institut national de la recherche scientifique
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=722223
• 关键词: Urban; Water; Demand; Forecasting; System

Prediction of daily urban water demand is vital for optimal management of the water infrastructure. With the advent of computational resources, advanced modeling solutions and user-friendly interface design, private and public infrastructure asset management teams, decision makers and technical operators can have access to state-of-the-art prediction solutions. The research project aims to develop urban water forecasting model for the City of Montreal, which will serve as the main component of a smart water management system designed to facilitate reservoir operations. The model will take into account weather analytics to improve the urban water demand forecasts.

城市日需水量的预测对于水基础设施的优化管理至关重要。随着计算资源、先进建模解决方案和用户友好界面设计的出现，私人和公共基础设施资产管理团队、决策者和技术运营商可以获得最先进的预测解决方案。该研究项目旨在为蒙特利尔市开发城市用水预测模型，该模型将作为旨在促进水库运营的智能水管理系统的主要组成部分。该模型将考虑天气分析，以改善城市用水需求预测。