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Data Mining and Machine Learning in Building Energ

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Located in: Fairford, United Kingdom
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eBay item number:386828752749
Last updated on 24 Mar, 2024 12:12:53 AEDSTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Data Mining and Machine Learning in Building Energ
ISBN
9781848214224
Publication Year
2016
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Data Mining and Machine Learning in Building Energy Analysis
Item Height
243mm
Author
Frederic Magoules, Hai-Xiang Zhao
Publisher
Iste LTD AND John Wiley & Sons INC International Concepts
Item Width
175mm
Subject
Computer Science
Item Weight
468g
Number of Pages
186 Pages

About this product

Product Information

Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.

Product Identifiers

Publisher
Iste LTD AND John Wiley & Sons INC International Concepts
ISBN-13
9781848214224
eBay Product ID (ePID)
178308107

Product Key Features

Author
Frederic Magoules, Hai-Xiang Zhao
Publication Name
Data Mining and Machine Learning in Building Energy Analysis
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2016
Type
Textbook
Number of Pages
186 Pages

Dimensions

Item Height
243mm
Item Width
175mm
Item Weight
468g

Additional Product Features

Title_Author
Hai-Xiang Zhao, Frederic Magoules
Country/Region of Manufacture
United Kingdom

Item description from the seller

Business seller information

Value Added Tax number:
  • AT 685613994
  • GB 203170464
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