Applied Data Analysis and Modeling for Energy Engineers and Scientists
How the traditional stochastic data modeling approaches are complemented by data analytic algorithmic models such as machine learning and data mining are also discussed. The important societal issues related to the sustainability of energy systems are presented, and a formal structure is proposed me...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 2nd ed. 2023 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Mathematical Models and Data Analysis
- Probability Concepts and Probability Distributions
- Data Collection and Preliminary Data Analysis
- Making Statistical Inferences from Samples
- Linear Regression Analysis Using Least Squares
- Design of Physical and Simulation Experiments
- Optimization Methods
- Analysis of Time Series Data
- Parametric and Non-Parametric Regression Methods
- Inverse Methods for Mechanistic Models
- Statistical Learning Through Data Analytics
- Decision-Making and Sustainability Assessments