Mathematical Models and Data Analysis



This chapter starts by introducing the benefits of applied data analysis and modeling methods through a case study example pertinent to energy use in buildings. Next, it reviews fundamental notions of mathematical models illustrates them in terms of sensor response, and differentiates between forward or simulation models and inverse models. Subsequently, various issues pertinent to data analysis and associated uncertainty are described, and the different analysis tools which fall within its purview are discussed. Basic concepts relating to white-box, black-box and grey-box models are then presented. An attempt is made to identify the different types of problems one faces with forward modeling as distinct from inverse modeling and analysis. Notions germane to the disciplines of decision analysis, data mining and intelligent data analysis are also covered. Finally, the various topics covered in each chapter of this book are described.


Inverse Modeling Biot Number Data Analysis Method Building Energy Intelligent Data Analysis 
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Supplementary material


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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.The Design School and School of SustainabilityArizona State UniversityTempeUSA

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