£93.35

Springer Applied Data Analysis and Modeling for Energy Engineers - Springer

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Description

Applied Data Analysis and Modeling for Energy Engineers and Scientists by Springer bridges the gap between theory and practice for engineering professionals and students working in energy sectors. This comprehensive resource integrates mathematical modelling, probability, statistics, experimental design, regression analysis, model building, optimisation, risk analysis and decision-making into a cohesive framework applicable to real-world engineering processes and systems. The text provides structured guidance that builds both technical knowledge and practical confidence, enabling engineers and scientists to translate concepts learned across multiple disciplines into actionable solutions for energy-related challenges. Whether you're developing predictive models, analysing experimental data or optimising energy systems, this book offers the unified perspective and practical skills needed to solve complex engineering problems effectively.

Key Features

Applied Data Analysis and Modeling for Energy Engineers integrates mathematical modelling, probability and statistics with practical engineering applications.

The Springer text covers experimental design, regression analysis and model building techniques essential for energy system optimisation.

Risk analysis and decision-making frameworks help energy professionals evaluate alternatives and manage project uncertainty.

Structured approach builds confidence and technical knowledge for both students and practising engineers in the energy sector.

Real-world engineering process examples demonstrate how to apply theoretical concepts to actual energy systems and challenges.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 November 2014
Listed Since
29 November 2014

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