Kyprianidis Konstantinos, Dahlquist Erik (eds.) AI and Learning Systems: Industrial Applications and Future Directions

ITexLi, 2021. — 248 p. — ISBN: 178985878X 9781789858785 1839686014 9781839686016.The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work.Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI.The book is organized into two main sections comprising 12 chapters overall:Digital Platforms and Learning Systems
Industrial Applications of AI
AI Overview: Methods and Structures
A Framework for Learning System for Complex Industrial Processes
AI & Digital Platforms: The Market [Part 1]
AI & Digital Platforms: The Technology [Part 2]
Artificial Intelligence and ISO 26000 (Guidance on Social Responsibility)
Operationalizing Heterogeneous Data-Driven Process Models for Various Industrial Sectors through Microservice-Oriented Cloud-Based Architecture
Machine Learning Models for Industrial Applications
Consensus Control of Distributed Battery Energy Storage Devices in Smart Grids
Power Flow Management Algorithm for a Remote Microgrid Based on Artificial Intelligence Techniques
Adaptive Load Frequency Control in Power Systems Using Optimization Techniques
Modeling the Hidden Risk of Polyethylene Contaminants within the Supply Chain
Sustainable Energy Management of Institutional Buildings through Load Prediction Models: Review and Case Study