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Data mining and machine learning in building energy analysis [electronic resource]
- 作者： Magoulès, F. (Frédéric)
- 其他作者：
- 其他題名：
- Computer engineering series.
- 出版： London :Hoboken, NJ : ISTE ;John Wiley & Sons
- 版本：1st ed.
- 叢書名： Computer engineering series
- 主題： Data mining. , Machine learning. , Buildings--Energy conservation--Research.
- ISBN： 9781118577691 (electronic bk.) 、 1118577698 (electronic bk.) 、 9781118577592 (electronic bk.) 、 1118577590 (electronic bk.)
-
FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Includes bibliographical references and index.
-
讀者標籤：
- 系統號： 005375778 | 機讀編目格式
館藏資訊
"The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and characteristics, occupants and their behaviors, operation of sublevel components like heating, ventilation and air-conditioning systems. These complex properties make the prediction, analysis or fault detection/diagnosis of building energy consumption very difficult to perform accurately. This book focuses on up-to-date data mining and machine-learning methods to solve these problems."--Preface.
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