Data Mining and Machine Learning in Building Energy Analysis.

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 artifi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fr©¡a℗Œd©¡a℗Œric Magoules
Formato: Electrónico eBook
Idioma:Inglés
Publicado: UNITED STATES : Wiley-ISTE, 2016.
Colección:Computer engineering series.
Temas:
Data mining.
Machine learning.
Buildings > Energy conservation > Mathematical models.
Buildings > Energy consumption > Mathematical models.
Data Mining
Machine Learning
Exploration de données (Informatique)
Apprentissage automatique.
Constructions > Économies d'énergie > Modèles mathématiques.
Constructions > Consommation d'énergie > Modèles mathématiques.
COMPUTERS > General.
Buildings > Energy conservation > Mathematical models
Buildings > Energy consumption > Mathematical models
Data mining
Machine learning
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (187)
Bibliografía:Includes bibliographical references and index.
ISBN:1118577485
9781118577486
9781118577592
1118577590

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