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Data Mining and Machine Learning in Building Energy Analysis – Towards High Performance Computing

Autor F Magoules
en Limba Engleză Hardback – 7 ian 2016
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.
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Specificații

ISBN-13: 9781848214224
ISBN-10: 1848214227
Pagini: 186
Dimensiuni: 175 x 243 x 16 mm
Greutate: 0.44 kg
Editura: ISTE Ltd.
Locul publicării:Hoboken, United States

Public țintă

This book is meant to appeal to building designers or engineers who consider energy conservation
in building design, operation, and retrofit procedures. In addition, researchers or students who
are working on building energy analysis, artificial intelligence models and their applications,
can benefit from this book. The structure of the book makes it well suited both for novice,
intermediate and advanced readers.

Notă biografică


Descriere

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.