An Empirical Study of Optimizing Chiller Operations and Electricity-Saving via Big Data Analytics for High-Tech Industries

Thesis

Han, Ya-Tung

Masters, 國立清華大學, 工業工程與工程管理學系所

2017

Abstract

節能分析

資料挖礦

冰水主機

時間序列模型

多變量適應雲形迴歸模型

機台健康指標

electricity-saving

data mining

chiller

time series model

multivariate adaptive regression splines model

machine health

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Title: An Empirical Study of Optimizing Chiller Operations and Electricity-Saving via Big Data Analytics for High-Tech Industries
Translated title: An Empirical Study of Optimizing Chiller Operations and Electricity-Saving via Big Data Analytics for High-Tech Industries
Creators: Han, Ya-Tung
Contributors: Chien, Chen-Fu (Advisor)
Awarding Institution: 國立清華大學, 工業工程與工程管理學系所; Masters
Theses and Dissertations: Masters, 國立清華大學, 工業工程與工程管理學系所
Language: English
Resource Type: Thesis
Date published: 2018