Lefteri H. Tsoukalas – författare

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.

Explore foundational and advanced topics in smart electric power in the context of smart citiesIn Smart Electric Power: Integrating Power with Information for Smarter Cities, a distinguished trio of researchers delivers a comprehensive framework of smart electric power concepts including aspects of modeling, information processing, simulation, and computation efficiency as applied to power load morphing, management, and power system reliability. The book explores the integration of power systems and information networks using machine intelligence to assist in reliable, continuous, optimal, and efficient power system operation.Functioning as both an introductory textbook and reference handbook, Smart Electric Power provides readers with robust exposure to dynamic, information-driven control methods coupled with machine learning methodologies that facilitate the reliable and automated delivery and management of electricity.Readers will also benefit from the inclusion of: Thorough introductions to smart electric power for smart cities, electrical power systems, and power markets and economicsComprehensive explorations of information networks and digital connectivity, machine intelligence for data processing, and the role of anticipation in implementing smart powerPractical discussions of demand response and load shaping using anticipation, power system stability via information and anticipation, data-driven self-healing power systems, and cybersecurity in smart power networksIn-depth examinations of smart power in modern cities and intelligent city transportation, the Gridlab-D software, and the elements of thermodynamicsPerfect for students and scholars studying smart electrical power systems, Smart Electric Power: Integrating Power with Information for Smarter Cities will also earn a place in the libraries of electrical, power, and computer engineers, computer scientists, and economists specializing in power and utilities markets.

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial IntelligenceTheory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial IntelligenceTheory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.