Leveraging Big Data To Save Energy

被引：0
|
作者：
Chan, Dave [1 ]
Lee, Kenneth [2 ]
Lee, Pan [2 ]
Mok, Franco [2 ]
机构：
[1] ATAL, Informat Commun & Bldg Technol, Hong Kong, Peoples R China
[2] ATAL, Hong Kong, Peoples R China
来源：
ASHRAE JOURNAL | 2021年 / 63卷
关键词：
D O I：
暂无
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Ensuring building services systems run at the highest possible energy efficiency is crucial to realize global greenhouse gas (GHG) emission reduction targets. An all-in-one smart building energy management platform leverages big data analytics and machine learning to achieve the best possible energy performance of the central AC system for a Grade-A office building in Hong Kong. It transforms maintenance practices from experienced-based to datadriven decision making.
引用
收藏
页码：66 / 69
页数：4
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