Titlebook: Applied Data Analysis and Modeling for Energy Engineers and Scientists; T. Agami Reddy,Gregor P. Henze Textbook 2023Latest edition The Edi

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Linear Regression Analysis Using Least Squares,essor variables. The process involves both identifying the model functional form and estimating the parameters of the model. Models linear in their parameters, the focus of this chapter, are widely used, with the . (OLS) method of estimating model parameters being the most frequent. The . with one r

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Optimization Methods,ns and illustrative examples. These techniques apply to situations where the impact of uncertainties is relatively minor and can be viewed as a subset of the broader domain of decision-making (treated in Chap. .). This chapter starts by defining the various terms used in the optimization literature,

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Analysis of Time Series Data,or via models, and to use the models for forecasting into the future. This general area is rich in theoretical development and in practical applications. What constitutes time series data and some of the common features encountered are first discussed. This is followed by a description of three type

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