Wentworth
Institute of Technology
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
UNITED STATES :
Wiley-ISTE,
2016.
|
| Series: | Computer engineering series.
|
| Subjects: | |
| Online Access: |
Full text (Wentworth users only) |
| Local Note: | ProQuest Ebook Central |
| Summary: | 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. |
|---|---|
| Physical Description: | 1 online resource (187) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1118577485 9781118577486 9781118577592 1118577590 |
| Source of Description, Etc. Note: | Print version record. |