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Smart power systems = grid modernization using AI and IoT-based applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart power systems/ edited by S. Vijayalakshmi ... [et al.].
Reminder of title:	grid modernization using AI and IoT-based applications /
other author:	Vijayalakshmi, Ca.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	vi, 438 p. :ill., digital ;24 cm.
[NT 15003449]:	Smart Intelligence Perspective and Integrating AI With the Power System -- Smart Grids for Clean, Reliable, and Resilient Electricity Systems -- Modeling of Power Systems -- Power Forecasting With AI and IoT -- Smart Grid Deployment: Features and Benefits -- Grid Automation: Challenges and Issues -- Smart Wide Area Monitoring of System Operations -- Machine Learning Algorithms for Identification of Equipment Overloading -- Efficient Power Distribution With AI-IoT and ML-based Methodologies -- Power Quality Checking and Control Using Smart Intelligence Based Methods -- Smart Intelligence Aided Power and Energy Management -- Blockchain Technology and Smart Power System -- AI-Based Methods and Algorithms for Fault Detection in the Transmission Lines -- Effective Models for Computing Optimized Storage Systems for Energy -- Efficient Methods for Price Prediction of Energy -- Smart and Secured Ways of E-Payment: Design of New Frameworks.
Contained By:	Springer Nature eBook
Subject:	Smart power grids. -
Online resource:	https://doi.org/10.1007/978-3-031-89459-6
ISBN:	9783031894596

Smart power systems = grid modernization using AI and IoT-based applications /
Smart power systemsgrid modernization using AI and IoT-based applications /[electronic resource] :edited by S. Vijayalakshmi ... [et al.]. - Cham :Springer Nature Switzerland :2025. - vi, 438 p. :ill., digital ;24 cm. - Power systems,1860-4676. - Power systems..

Smart Intelligence Perspective and Integrating AI With the Power System -- Smart Grids for Clean, Reliable, and Resilient Electricity Systems -- Modeling of Power Systems -- Power Forecasting With AI and IoT -- Smart Grid Deployment: Features and Benefits -- Grid Automation: Challenges and Issues -- Smart Wide Area Monitoring of System Operations -- Machine Learning Algorithms for Identification of Equipment Overloading -- Efficient Power Distribution With AI-IoT and ML-based Methodologies -- Power Quality Checking and Control Using Smart Intelligence Based Methods -- Smart Intelligence Aided Power and Energy Management -- Blockchain Technology and Smart Power System -- AI-Based Methods and Algorithms for Fault Detection in the Transmission Lines -- Effective Models for Computing Optimized Storage Systems for Energy -- Efficient Methods for Price Prediction of Energy -- Smart and Secured Ways of E-Payment: Design of New Frameworks.

As the demand for electricity grows, the need for efficient and cleaner energy sources becomes increasingly critical. This book looks at the world of smart power systems, where artificial intelligence (AI) and the Internet of Things (IoT) are revolutionizing traditional power grids. This book covers a wide range of topics, starting with smart grid fundamentals, benefits, and deployment strategies. It explores power system models and the application of AI and IoT in power forecasting and the assembly of smart grids, the benefits and limitations of grid automation, and the use of machine-learning algorithms to identify equipment congestion. Efficient power distribution methods with AI-IoT and ML-based methodologies are explained, along with power quality checking, smart intelligence-based control, and intelligent power and energy management, as well as the role of blockchain technology in creating smart power systems and their potential impact. The book concludes by examining efficient methods for energy price prediction, secure e-payment solutions, fault detection in transmission lines using AI-based methods and algorithms, and optimized storage systems for energy. With practical case studies and real-world examples, this book will help students, researchers, and professionals in electrical engineering, power systems, and renewable energy expand their knowledge and skills in the emerging field of smart power systems and be at the forefront of the energy transition. Offers in-depth analysis of the key components of modern power systems; Focuses on bringing together renewable energy sources with the power grid; Includes case studies;.

ISBN: 9783031894596

Standard No.: 10.1007/978-3-031-89459-6doiSubjects--Topical Terms:

1567050
Smart power grids.

LC Class. No.: TK3105 / .S63 2025

Dewey Class. No.: 621.3191

Smart power systems = grid modernization using AI and IoT-based applications /
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505 0 $a Smart Intelligence Perspective and Integrating AI With the Power System -- Smart Grids for Clean, Reliable, and Resilient Electricity Systems -- Modeling of Power Systems -- Power Forecasting With AI and IoT -- Smart Grid Deployment: Features and Benefits -- Grid Automation: Challenges and Issues -- Smart Wide Area Monitoring of System Operations -- Machine Learning Algorithms for Identification of Equipment Overloading -- Efficient Power Distribution With AI-IoT and ML-based Methodologies -- Power Quality Checking and Control Using Smart Intelligence Based Methods -- Smart Intelligence Aided Power and Energy Management -- Blockchain Technology and Smart Power System -- AI-Based Methods and Algorithms for Fault Detection in the Transmission Lines -- Effective Models for Computing Optimized Storage Systems for Energy -- Efficient Methods for Price Prediction of Energy -- Smart and Secured Ways of E-Payment: Design of New Frameworks.
520 $a As the demand for electricity grows, the need for efficient and cleaner energy sources becomes increasingly critical. This book looks at the world of smart power systems, where artificial intelligence (AI) and the Internet of Things (IoT) are revolutionizing traditional power grids. This book covers a wide range of topics, starting with smart grid fundamentals, benefits, and deployment strategies. It explores power system models and the application of AI and IoT in power forecasting and the assembly of smart grids, the benefits and limitations of grid automation, and the use of machine-learning algorithms to identify equipment congestion. Efficient power distribution methods with AI-IoT and ML-based methodologies are explained, along with power quality checking, smart intelligence-based control, and intelligent power and energy management, as well as the role of blockchain technology in creating smart power systems and their potential impact. The book concludes by examining efficient methods for energy price prediction, secure e-payment solutions, fault detection in transmission lines using AI-based methods and algorithms, and optimized storage systems for energy. With practical case studies and real-world examples, this book will help students, researchers, and professionals in electrical engineering, power systems, and renewable energy expand their knowledge and skills in the emerging field of smart power systems and be at the forefront of the energy transition. Offers in-depth analysis of the key components of modern power systems; Focuses on bringing together renewable energy sources with the power grid; Includes case studies;.
650 0 $a Smart power grids. $3 1567050
650 1 4 $a Energy Grids and Networks. $3 3592502
650 2 4 $a Renewable Energy. $3 3591935
650 2 4 $a Electrical Power Engineering. $3 3592498
650 2 4 $a Energy Policy, Economics and Management. $3 1532761
650 2 4 $a Energy System Transformation. $3 3603473
700 1 $a Vijayalakshmi, Ca. $3 3791468
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Power systems. $3 1568440
856 4 0 $u https://doi.org/10.1007/978-3-031-89459-6
950 $a Energy (SpringerNature-40367)