Applied Data Analysis and Modeling for Energy Engineers and Scientists
Authors: Reddy, T. Agami
Free Preview- 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
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- About this book
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Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.
Applied Data Analysis and Modeling for Energy Engineers and Scientists is an ideal volume for researchers, practitioners, and senior level or graduate students working in energy engineering, mathematical modeling and other related areas.
- Table of contents (13 chapters)
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Mathematical Models and Data Analysis
Pages 1-25
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Probability Concepts and Probability Distributions
Pages 27-60
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Data Collection and Preliminary Data Analysis
Pages 61-101
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Making Statistical Inferences from Samples
Pages 103-140
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Estimation of Linear Model Parameters Using Least Squares
Pages 141-182
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Table of contents (13 chapters)
- Download Preface 1 PDF (342.5 KB)
- Download Sample pages 2 PDF (1.8 MB)
- Download Table of contents PDF (527.6 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Applied Data Analysis and Modeling for Energy Engineers and Scientists
- Authors
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- T. Agami Reddy
- Copyright
- 2011
- Publisher
- Springer US
- Copyright Holder
- Springer Science+Business Media, LLC
- eBook ISBN
- 978-1-4419-9613-8
- DOI
- 10.1007/978-1-4419-9613-8
- Hardcover ISBN
- 978-1-4419-9612-1
- Softcover ISBN
- 978-1-4899-8636-8
- Edition Number
- 1
- Number of Pages
- XXI, 430
- Topics
