Nagendra Singh – författare
1 119 kr
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An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.
Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.
Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.
Highlights include:
Power quality enhancement by PV-UPQC for non-linear load
Energy management of a nanogrid through flair of deep learning from IoT environments
Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis
AC power optimization techniques
Artificial intelligence and machine learning techniques in power systems automation
1 119 kr
Läs direkt efter köp
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.
Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.
Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.
Highlights include:
Power quality enhancement by PV-UPQC for non-linear load
Energy management of a nanogrid through flair of deep learning from IoT environments
Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis
AC power optimization techniques
Artificial intelligence and machine learning techniques in power systems automation
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Kommande
891 kr
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The text highlights the designing of efficient, wearable, and textile antennas for medical and wireless applications. It further discusses antenna design for the Internet of Things, biomedical, and 5G applications. The book presents machine learning and deep learning techniques for antenna design and analysis. It also covers radio frequency, micro-electromechanical systems, and nanoelectromechanical systems devices for smart antenna design.
This book:
Explores wearable reconfigurable antennas for wireless communication and provide the latest technique in term of its structure, defective ground plane, and fractal design Focuses on current and future technologies related to antenna design, and channel characterization for different communication links, and applications Discusses machine learning techniques for antenna design and analysis Demonstrates how nano patch antenna resonates at multiple frequencies by varying the chemical potential Covers the latest antenna technology for microwave sensors, and for fiber optical sensor communicationsIt is primarily for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering.
891 kr
Läs direkt efter köp
The text highlights the designing of efficient, wearable, and textile antennas for medical and wireless applications. It further discusses antenna design for the Internet of Things, biomedical, and 5G applications. The book presents machine learning and deep learning techniques for antenna design and analysis. It also covers radio frequency, micro-electromechanical systems, and nanoelectromechanical systems devices for smart antenna design.
This book:
Explores wearable reconfigurable antennas for wireless communication and provide the latest technique in term of its structure, defective ground plane, and fractal design Focuses on current and future technologies related to antenna design, and channel characterization for different communication links, and applications Discusses machine learning techniques for antenna design and analysis Demonstrates how nano patch antenna resonates at multiple frequencies by varying the chemical potential Covers the latest antenna technology for microwave sensors, and for fiber optical sensor communicationsIt is primarily for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering.
942 kr
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Power System Management demonstrates the effectiveness of emerging technologies in electrical systems compared to traditional operational systems. It showcases different operations of the electrical systems, presents the output results based on the latest techniques, and compares the results with classical methods.
Highlights how to implement the modern automation system in the electrical transmission, and distribution systems Discusses the integration of distributed energy resources at both medium voltage (MV) and low voltage (LV) levels with modern automation systems Showcases the problems associated with the AC transmission system and the required automation control system Covers application of smart technologies including deep learning and artificial intelligence in fault detection, and grid optimization Presents real-time monitoring and control of power system devices using the Internet of Things systems, and artificial intelligence-operated robotics system used for control of electrical distribution systemThe text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer science, and engineering.
942 kr
Läs direkt efter köp
Power System Management demonstrates the effectiveness of emerging technologies in electrical systems compared to traditional operational systems. It showcases different operations of the electrical systems, presents the output results based on the latest techniques, and compares the results with classical methods.
Highlights how to implement the modern automation system in the electrical transmission, and distribution systems Discusses the integration of distributed energy resources at both medium voltage (MV) and low voltage (LV) levels with modern automation systems Showcases the problems associated with the AC transmission system and the required automation control system Covers application of smart technologies including deep learning and artificial intelligence in fault detection, and grid optimization Presents real-time monitoring and control of power system devices using the Internet of Things systems, and artificial intelligence-operated robotics system used for control of electrical distribution systemThe text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer science, and engineering.
909 kr
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This book explores the transformative potential of blockchain technology and shows how blockchain can promote equitable access to resources and bridge societal gaps. It examines blockchain''s role in enhancing transparency, security, and decentralisation across various sectors and in society. The book addresses both the advancements and challenges of blockchain, providing practical use cases to understand the opportunities, limitations, and innovative applications of blockchain, envisioning a future where this technology drives significant societal change.
• Showcases practical use cases in healthcare, finance, governance, supply chain management, and humanitarian aid
• Covers decentralized finance (DeFi), financial inclusion, asset tokenization, and impact investing
• Investigates blockchain''s role in environmental conservation, charitable donations, and ethical considerations
• Examines scalability, interoperability, security, and regulatory concerns and discusses self-sovereign identity and personal information control through blockchain
• Offers insights for policymakers on creating a conducive environment for blockchain while safeguarding public interests
This is a reference for scholars and practitioners interested about the impact of blockchain.
909 kr
Läs direkt efter köp
This book explores the transformative potential of blockchain technology and shows how blockchain can promote equitable access to resources and bridge societal gaps. It examines blockchain''s role in enhancing transparency, security, and decentralisation across various sectors and in society. The book addresses both the advancements and challenges of blockchain, providing practical use cases to understand the opportunities, limitations, and innovative applications of blockchain, envisioning a future where this technology drives significant societal change.
• Showcases practical use cases in healthcare, finance, governance, supply chain management, and humanitarian aid
• Covers decentralized finance (DeFi), financial inclusion, asset tokenization, and impact investing
• Investigates blockchain''s role in environmental conservation, charitable donations, and ethical considerations
• Examines scalability, interoperability, security, and regulatory concerns and discusses self-sovereign identity and personal information control through blockchain
• Offers insights for policymakers on creating a conducive environment for blockchain while safeguarding public interests
This is a reference for scholars and practitioners interested about the impact of blockchain.
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