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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

1. Introduction

verfasst von : Jun Zhao, Wei Wang, Chunyang Sheng

Erschienen in: Data-Driven Prediction for Industrial Processes and Their Applications

Verlag: Springer International Publishing

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Abstract

This chapter gives an overall introduction to this book. First, we discuss the importance of the prediction for industrial process. Then, we divide the data-driven prediction methodology discussed in this book into a number of categories. Specifically, there are three categories, i.e., data feature-based methods, time scale-based ones, and prediction reliability-based ones. Besides, considering the characteristics of prediction modeling and industrial demands, this book introduces some commonly used prediction techniques, including the time series-based methods, the factor-based methods, the prediction intervals (PIs) construction methods, and the granular-based long-term prediction methods.

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Metadaten
Titel
Introduction
verfasst von
Jun Zhao
Wei Wang
Chunyang Sheng
Copyright-Jahr
2018
Buch
Data-Driven Prediction for Industrial Processes and Their Applications

Print ISBN: 978-3-319-94050-2

Electronic ISBN: 978-3-319-94051-9

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-94051-9_1