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

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. INDICE: 1. Overview of Building Energy Analysis. .2. Data Acquisition for Building Energy Analysis. .3. Artificial Intelligence Models. .4. Artificial Intelligence for Building Energy Analysis. .5. Model Reduction for Support Vector Machines. .6. Parallel Computing for Support Vector Machines.

• ISBN: 978-1-84821-422-4
• Editorial: ISTE Ltd.
• Encuadernacion: Rústica
• Páginas: 186
• Fecha Publicación: 01/04/2016
• Nº Volúmenes: 1
• Idioma: Inglés