Data-Driven Prediction for Industrial Processes and Their Applications

✍ Scribed by Jun Zhao, Wei Wang, Chunyang Sheng

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 453
• Series: Information Fusion and Data Science
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.

✦ Table of Contents

Front Matter ....Pages i-xvi
Introduction (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 1-11
Data Preprocessing Techniques (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 13-52
Industrial Time Series Prediction (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 53-119
Factor-Based Industrial Process Prediction (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 121-157
Industrial Prediction Intervals with Data Uncertainty (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 159-222
Granular Computing-Based Long-Term Prediction Intervals (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 223-267
Parameter Estimation and Optimization (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 269-350
Parallel Computing Considerations (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 351-383
Data-Based Prediction for Energy Scheduling of Steel Industry (Jun Zhao, Wei Wang, Chunyang Sheng)....Pages 385-436
Back Matter ....Pages 437-443

✦ Subjects

Computer Science; Data Mining and Knowledge Discovery; Manufacturing, Machines, Tools; Artificial Intelligence (incl. Robotics); Quality Control, Reliability, Safety and Risk; Operations Research/Decision Theory