IoT for Smart Grids

This book explains the fundamentals of control theory for Internet of Things (IoT) systems and smart grids and its applications. It discusses the challenges imposed by large-scale systems, and describes the current and future trends and challenges in decision-making for IoT in detail, showing the ongoing industrial and academic research in the field of smart grid domain applications.It presents step-by-step design guidelines for the modeling, design, customisation and calibration of IoT systems applied to smart grids, in which the challenges increase with each system's increasing complexity. It also provides solutions and detailed examples to demonstrate how to use the techniques to overcome these challenges, as well as other problems related to decision-making for successful implementation. Further, it anaylses the features of decision-making, such as low-complexity and fault-tolerance, and uses open-source and publicly available software tools to show readers how they can design, implement and customise their own system control instantiations.This book is a valuable resource for power engineers and researchers, as it addresses the analysis and design of flexible decision-making mechanisms for smart grids. It is also of interest to students on courses related to control of large-scale systems, since it covers the use of state-of-the-art technology with examples and solutions in every chapter. And last but not least, it offers practical advice for professionals working with smart grids.

IoT for Smart Grids - Design Challenges and Paradigms.- Part I: Fundamental Topics and Technologies for IoT Systems Targeting Smart-Grid Domain.- Mastering the challenges of changing energy systems: The Smart-Grid Concept.- Edge Computing for Smart Grid: An Overview on Architectures and Solutions.- Smart-Grid Modelling and Simulation.- Communication Protocols for the IoT-based Smart Grid.- Smart Grid Hardware Security.- Edge Computing and Efficient Resource Management forintegration of video devices in Smart Grid deployments.- Solar Energy Forecasting in the Era of IoT Enabled Smart Grids.- Data Analytic for Improving Operations and Maintenance in Smart-Grid Environment.- On Accelerating Data Analytics: An Introduction to the Approximate Computing Technique.- Part II: Case Studies about Computerized Monitor and Control of Energy Systems.- Towards plug&play smart thermostats for building’s heating/cooling control.