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by Miltiadis Alamaniotis (Author), Nikolaos Bourbakis (Author), Lefteri H. Tsoukalas (Author)
Explore foundational and advanced topics in smart electric power in the context of smart cities
In 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 economics
- Comprehensive explorations of information networks and digital connectivity, machine intelligence for data processing, and the role of anticipation in implementing smart power
- Practical 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 networks
- In-depth examinations of smart power in modern cities and intelligent city transportation, the Gridlab-D software, and the elements of thermodynamics
Perfect 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.
