Proceedings of International Conference on Computational Intelligence and Emerging Power System: ICCIPS 2021

This book summarizes research papers from the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), covering topics such as collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, natural language processing, renewable energy, signal processing, and more.

Format: Paperback / softback
Length: 372 pages
Publication date: 15 December 2022
Publisher: Springer Verlag, Singapore

The book "Advances in Computational Intelligence and Emerging Power System (ICCIPS 2021)" presents a compilation of exceptional research papers that were presented during the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), which took place from March 9 to 10, 2021, at Engineering College Ajmer, India. This conference was jointly organized by the Department of Computer Science and Engineering (CSE) and the Department of Electrical Engineering (EE), Engineering College Ajmer, Rajasthan, India.

The book encompasses a wide range of topics, including collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, natural language processing, renewable energy, signal processing, optimization methods for power systems, smart grids, micro-grids, energy management, power systems, monitoring systems, load management, and distributed generation.

The papers presented in this book showcase the latest advancements and innovative solutions in the field of computational intelligence and power systems. The authors, from various esteemed institutions and research centers, have contributed their expertise and insights to this publication, making it a valuable resource for scholars, researchers, and professionals in the field.

Collective intelligence refers to the collective behavior and intelligence exhibited by groups of individuals, such as social insects, animals, or humans. This field explores the mechanisms and strategies employed by these groups to solve complex problems, make decisions, and adapt to changing environments. Soft computing is a branch of computer science that focuses on the development of algorithms and systems that are designed to mimic the human brain's cognitive abilities, such as pattern recognition, decision-making, and learning. This field has applications in various domains, including image processing, signal processing, and artificial intelligence.

Optimization is a fundamental problem-solving technique that involves finding the best solution to a given problem from a set of possible solutions. This field encompasses a wide range of applications, including energy management, supply chain management, and machine learning. Cloud computing is a model for delivering computing resources, such as storage, processing power, and software, over the internet. This technology has revolutionized the way we access and use computing resources, enabling businesses and individuals to scale their operations efficiently and cost-effectively.

Machine learning is a subset of artificial intelligence that involves the training of computer algorithms to learn from data and make predictions or decisions. This field has applications in various domains, including image recognition, speech recognition, and natural language processing. Intelligent software is a type of software that is designed to automate and optimize complex processes, such as decision-making, planning, and scheduling. This field has applications in various industries, including manufacturing, healthcare, and transportation.

Robotics is the field of engineering that involves the design, development, and application of robots. Robots are designed to perform tasks that are dangerous, difficult, or repetitive for humans. This field has applications in various industries, including manufacturing, healthcare, and transportation. Data science is a multidisciplinary field that involves the collection, analysis, and interpretation of large amounts of data. This field has applications in various domains, including healthcare, finance, and marketing.

Data security is the practice of protecting sensitive information and data from unauthorized access, theft, and damage. This field has become increasingly important in the digital age, as the amount of data we generate and store continues to grow. Big data analytics is the process of analyzing large amounts of data to extract insights and make informed decisions. This field has applications in various domains, including healthcare, finance, and marketing.

Natural language processing is the field of computer science that involves the processing and analysis of human language. This field has applications in various domains, including speech recognition, text analysis, and machine translation. Renewable energy is the source of energy that is derived from natural resources, such as sunlight, wind, water, and geothermal heat. This field has become increasingly important in the fight against climate change and the depletion of fossil fuels.

Signal processing is the field of engineering that involves the processing and analysis of signals, such as audio, video, and images. This field has applications in various domains, including communication, imaging, and surveillance. Optimization methods for power systems are used to improve the efficiency and reliability of power systems. This field has applications in various industries, including energy management, transportation, and manufacturing.

Smart grids are a modernized version of traditional power grids that incorporate digital technologies and communication networks to improve the efficiency, reliability, and sustainability of power distribution. This field has applications in various industries, including energy management, transportation, and manufacturing. Micro-grids are small-scale power grids that are designed to provide power to a specific area or community. This field has applications in various industries, including energy management, transportation, and healthcare.

Energy management is the practice of optimizing the use of energy resources to reduce energy consumption and costs. This field has applications in various industries, including energy production, transportation, and healthcare. Power system monitoring is the process of monitoring and analyzing the performance of power systems to identify potential issues and improve efficiency. This field has applications in various industries, including energy management, transportation, and healthcare.

Load management is the practice of managing the demand for electricity to ensure that the power system operates efficiently and reliably. This field has applications in various industries, including energy management, transportation, and healthcare. Distributed generation is the generation of electricity from renewable resources or other sources that are located close to the point
The book "Advances in Computational Intelligence and Emerging Power System (ICCIPS 2021)" presents a compilation of exceptional research papers that were presented during the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), which took place
place from March 9 to 10, 2021, at Engineering College Ajmer, India. This conference was jointly organized by the Department of Computer Science and Engineering (CSE) and the Department of Electrical Engineering (EE), Engineering College Ajmer, Rajasthan, India.

The book encompasses a wide range of topics, including collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, natural language processing, renewable energy, signal processing, optimization methods for power systems, smart grids, micro-grids, energy management, power systems, monitoring systems, load management, and distributed generation.

The papers presented in this book showcase the latest advancements and innovative solutions in the field of computational intelligence and power systems. The authors, from various esteemed institutions and research centers, have contributed their expertise and insights to this publication, making it a valuable resource for scholars, researchers, and professionals in the field.

Collective intelligence refers to the collective behavior and intelligence exhibited by groups of individuals, such as social insects, animals, or humans. This field explores the mechanisms and strategies employed by these groups to solve complex problems, make decisions, and adapt to changing environments. Soft computing is a branch of computer science that focuses on the development of algorithms and systems that are designed to mimic the human brain's cognitive abilities, such as pattern recognition, decision-making, and learning. This field has applications in various domains, including image processing, signal processing, and artificial intelligence.

Optimization is a fundamental problem-solving technique that involves finding the best solution to a given problem from a set of possible solutions. This field encompasses a wide range of applications, including energy management, supply chain management, and machine learning. Cloud computing is a model for delivering computing resources, such as storage, processing power, and software, over the internet. This technology has revolutionized the way
the way
way we access and use computing resources, enabling businesses and individuals to scale their operations efficiently and cost-effectively.

Machine learning is a subset of artificial intelligence that involves the training of computer algorithms to learn from data and make predictions or decisions. This field has applications in various domains, including image recognition, speech recognition, and natural language processing. Intelligent software is a type of software that is designed to automate and optimize complex processes, such as decision-making, planning, and scheduling. This field has applications in various industries, including manufacturing, healthcare, and transportation.

Robotics is the field of engineering that involves the design, development, and application of robots. Robots are designed to perform tasks that are dangerous, difficult, or repetitive for humans. This field has applications in various industries, including manufacturing, healthcare, and transportation. Data science is a multidisciplinary field that involves the collection.

Data science is a multidisciplinary field that involves the collection, analysis, and interpretation of large amounts of data. This field has applications in various domains, including healthcare, finance, and marketing.

Data security is the practice of protecting sensitive information and data from unauthorized access, theft, and damage. This field has become increasingly important in the digital age, as the amount of data we generate and store continues to grow. Big data analytics is the process of analyzing large amounts of data to extract insights and make informed decisions. This field has applications in various domains, including healthcare, finance, and marketing.

Natural language processing is the field of computer science that involves the processing and analysis of human language. This field has applications in various domains, including speech recognition, text analysis, and machine translation. Renewable energy is the source of energy that is derived from natural resources, such as sunlight, wind, water, and geothermal heat. This field has become increasingly important in the fight against climate change and the depletion of fossil fuels.

Signal processing is the field of engineering that involves the processing and analysis of signals, such as audio, video, and images. This field has applications in various domains, including communication, imaging, and surveillance. Optimization methods for power systems are used to improve the efficiency and reliability of power systems. This field has applications in various industries, including energy management, transportation, and manufacturing.

Smart grids are a modernized version of traditional power grids that incorporate digital technologies and communication networks to improve the efficiency, reliability, and sustainability of power distribution. This field has applications in various industries, including energy management, transportation, and manufacturing. Micro-grids are small-scale power grids that are designed to provide power to a specific area or community. This field has applications in various industries, including energy management, transportation, and healthcare.

Energy management is the practice of optimizing the use of energy resources to reduce energy consumption and costs. This field has applications in various industries, including energy production, transportation, and healthcare. Power system monitoring is the process of monitoring and analyzing the performance of power systems to identify potential issues and improve efficiency. This field has applications in various industries, including energy management, transportation, and healthcare.

Load management is the practice of managing the demand for electricity to ensure that the power system operates efficiently and reliably. This field has applications in various industries, including energy management, transportation, and healthcare. Distributed generation is the generation of electricity from renewable resources or other sources that are located close to the

The book "Advances in Computational Intelligence and Emerging Power System (ICCIPS 2021)" presents a compilation of exceptional research papers that were presented during the International Conference on Computational Intelligence and Emerging Power System (ICCIPS 2021), which took
place from March 9 to 10, 2021, at Engineering College Ajmer, India. This conference was jointly organized by the Department of Computer Science and Engineering (CSE) and the Department of Electrical Engineering (EE), Engineering College Ajmer, Rajasthan, India.

The book encompasses a wide range of topics, including collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, natural language processing, renewable energy, signal processing, optimization methods for power systems, smart grids, micro-grids, energy management, power systems, monitoring systems, load management, and distributed generation.

The papers presented in this book showcase the latest advancements and innovative solutions in the field of computational intelligence and power systems. The authors, from various esteemed institutions and research centers, have contributed their expertise and insights to this publication, making it a valuable resource for scholars, researchers, and professionals in the field.

Collective intelligence refers to the collective behavior and intelligence exhibited by groups of individuals, such as social insects, animals, or humans. This field explores the mechanisms and strategies employed by these groups to solve complex problems, make decisions, and adapt to changing environments. Soft computing is a branch of computer science that focuses on the development of algorithms and systems that are designed to mimic the human brain's cognitive abilities, such as pattern recognition, decision-making, and learning. This field has applications in various domains, including image processing, signal processing, and artificial intelligence.

Optimization is a fundamental problem-solving technique that involves finding the best solution to a given problem from a set of possible solutions. This field encompasses a wide range of applications, including energy management, supply chain management, and machine learning. Cloud computing is a model for delivering computing resources, such as storage, processing power, and software, over the internet. This technology has revolutionized the way we access and use computing resources, enabling businesses and individuals to scale their operations efficiently and cost-effectively.

Machine learning is a subset of artificial intelligence that involves the training of computer algorithms to learn from data and make predictions or decisions. This field has applications in various domains, including image recognition, speech recognition, and natural language processing. Intelligent software is a type of software that is designed to automate and optimize complex processes, such as decision-making, planning, and scheduling. This field has applications in various industries, including manufacturing, healthcare, and transportation.

Robotics is the field of engineering that involves the design, development, and application of robots. Robots are designed to perform tasks that are dangerous, difficult, or repetitive for humans. This field has applications in various industries, including manufacturing, healthcare, and transportation. Data science is a multidisciplinary field that involves the collection, analysis, and interpretation of large amounts of data. This field has applications in various domains, including healthcare, finance, and marketing.

Data security is the practice of protecting sensitive information and data from unauthorized access, theft, and damage. This field has become increasingly important in the digital age, as the amount of data we generate and store continues to grow. Big data analytics is the process of analyzing large amounts of data to extract insights and make informed decisions. This field has applications in various domains, including healthcare, finance, and marketing.

Natural language processing is the field of computer science that involves the processing and analysis of human language. This field has applications in various domains, including speech recognition, text analysis, and machine translation. Renewable energy is the source of energy that is derived from natural resources, such as sunlight, wind, water, and geothermal heat. This field has become increasingly important in the fight against climate change and the depletion of fossil fuels.

Signal processing is the field of engineering that involves the processing and analysis of signals, such as audio, video, and images. This field has applications in various domains, including communication, imaging, and surveillance. Optimization methods for power systems are used to improve the efficiency and reliability of power systems. This field has applications in various industries, including energy management, transportation, and manufacturing.

Smart grids are a modernized version of traditional power grids that incorporate digital technologies and communication networks to improve the efficiency, reliability, and sustainability of power distribution. This field has applications in various industries, including energy management, transportation, and manufacturing. Micro-grids are small-scale power grids that are designed to provide power to a specific area or community. This field has applications in various industries, including energy management, transportation, and healthcare.

Energy management is the practice of optimizing the use of energy resources to reduce energy consumption and costs. This field has applications in various industries, including energy production, transportation, and healthcare. Power system monitoring is the process of monitoring and analyzing the performance of power systems to identify potential issues and improve efficiency. This field has applications in various industries, including energy management, transportation, and healthcare.

Load management is the practice of managing the demand for electricity to ensure that the power system operates efficiently and reliably. This field has applications in various industries, including energy management, transportation, and healthcare. Distributed generation is the generation of electricity from renewable resources or other sources that are located close to the

Weight: 599g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811641053
Edition number: 1st ed. 2022