The book focuses on a very important area of Smart Grids - cyber security. It deals in particular with the tools and techniques for cyber security analysis of the Smart Grid control systems. This includes the standards and guidelines, detailed vulnerability assessment framework, attack detection strategies, and attack mitigation methods. The book is divided into three parts. The smart grid cyber-physical system is discussed in the first part. The second part introduces the attacks in the grid system and a vulnerability assessment framework followed by a tool that can be used to analyze the grid control systems using existing cyber security standards. In the third part, different forms of attack detection methods are discussed along with Python-based implementations for the same. The book also discusses attack mitigation methods with implementation. Detailed illustrations and tables are provided in each section. The book also includes case studies based on standard test systems thushelping students to implement the discussed methods. The case studies are based on MATLAB and Python implementations thus catering to a wide range of audiences. Outputs and screenshots of the tools and programs are included so students can compare their results and improve upon the discussed methods. The book will be useful to a wide variety of audiences such as students and researchers in Smart Grids, power system operators, and device manufacturers.

This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020.

by Nick Heard (Editor), Niall Adams (Editor), Patrick Rubin-Delanchy (Editor)
Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns