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Can I read Applied Data Analysis and Modeling for Energy Engineers and Scientists on EtoBox?
Applied Data Analysis and Modeling for Energy Engineers and Scientists by T. Agami Reddy, Gregor P. Henze is a nonfiction available to read on EtoBox.
What is Applied Data Analysis and Modeling for Energy Engineers and Scientists about?
Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems. It provides a formal structure that offers a broad and integrative perspective to enhance knowledge, skills, and confidence to work in applied data analysis and modeling problems. This new edition also reflects recent trends and advances in statistical modeling as applied to energy and building processes and systems. It includes numerous examples from recently published technical papers to nurture and stimulate a more research-focused mindset. How the traditional stochastic data modeling methods complement data analytic algorithmic approaches such as machine learning and data mining is also discussed. The important societal issue related to the sustainability of energy systems is presented, and a formal structure is proposed meant to classify the various assessment me
Who reads Applied Data Analysis and Modeling for Energy Engineers and Scientists?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- T. Agami Reddy, Gregor P. Henze
- Publisher
- Springer International Publishing AG
- Published
- 2023
- Language
- EN
- ISBN
- 9783031348686
- Category
- nonfiction
- Subjects
- Business, Mathematics, Engineering
Other editions & translations
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