Applied data analysis and modeling for energy engineers and scientists

Applied Data Analysis and Modeling for Energy Engineers and Scientists discusses mathematical models, data analysis, and decision analysis in modeling. The approach taken in this volume focuses on the modeling and analysis of thermal systems in an engineering environment, while also covering a number of othercritical areas. Other material covered includes the tools that researchersandengineering professionals will need in order to explore different analysis methods, use critical assessment skills and reach sound engineering conclusions.The book also: Covers process and system design and how to operate systems and interpret data Discusses designed experiments and analysis of non-intrusive data using case studies Applied Data Analysis and Modeling for Energy Engineers and Scientists is a must-read book for researchers and engineers working in data analysis and modeling. Covers process and system design and how to operate systems and interpret data. Focuses exclusively on the modeling and analysis of thermal systems for engineers. Discusses designed experiments and analysis of non-intrusive data using case studies. INDICE: Models, data analysis and decision making. Probability concepts and probability distributions. Data collection and preliminary data analysis. Making statistical inferences from samples. Estimation of linear model parameters using least squares. Designed experiments and analysis of non-intrusive data. Time series models. Topics in optimization, parameter estimation and clustering methods. Inverse problems and illustrative examples. Decision analysis andrisk modeling.

• ISBN: 978-1-4419-9612-1
• Editorial: Springer US
• Encuadernacion: Cartoné
• Páginas: 660
• Fecha Publicación: 26/07/2011
• Nº Volúmenes: 1
• Idioma: Inglés