Energy Optimization and Prediction in Office Buildings A Case Study of Office Building Design in Chile /

• Main Authors: Rubio-Bellido, Carlos (Author, http://id.loc.gov/vocabulary/relators/aut), Pérez-Fargallo, Alexis (http://id.loc.gov/vocabulary/relators/aut), Pulido-Arcas, Jesús (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Energy,
• Subjects: Sustainable architecture.; Energy efficiency.; Buildings-Design and construction.; Building.; Construction.; Engineering, Architectural.; Neural networks (Computer science) .; Mathematical optimization.; Sustainable Architecture/Green Buildings.; Energy Efficiency.; Building Construction and Design.; Mathematical Models of Cognitive Processes and Neural Networks.; Optimization.

This book explains how energy demand and energy consumption in new buildings can be predicted and how these aspects and the resulting CO2 emissions can be reduced. It is based upon the authors' extensive research into the design and energy optimization of office buildings in Chile. The authors...

Table of Contents:

• Introduction
• Research Method
• Energy Demand Analysis
• Multiple Linear Regressions
• Artificial Neural Networks
• Conclusions.