Authors:
- Offers descriptions of numerous data analysis techniques, including but not limited to exploratory data analysis, estimation and model building, inferential methods and data compaction
- Utilizes an effective combination of classical methods with the more recently developed machine learning and automated tools which have become more prevalent in recent years
- Discusses data analysis and modeling issues that are relevant to thermal energy systems, building energy systems, renewable energy systems, energy efficiency, indoor air quality, and environmental engineering
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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The Design Sch. & Sch. of Sust, Arizona State University, Tempe, USA
T. Agami Reddy
Bibliographic Information
Book Title: Applied Data Analysis and Modeling for Energy Engineers and Scientists
Authors: T. Agami Reddy
DOI: https://doi.org/10.1007/978-1-4419-9613-8
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Softcover ISBN: 978-1-4899-8636-8Published: 26 November 2014
eBook ISBN: 978-1-4419-9613-8Published: 09 August 2011
Edition Number: 1
Number of Pages: XXI, 430
Topics: Energy Efficiency, Engineering Thermodynamics, Heat and Mass Transfer, Probability Theory and Stochastic Processes, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences