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  • Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

    Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by Jain, Arpit; Sharma, Abhinav; Jately, Vibhu;

    Sorozatcím: Smart Technologies for Engineers and Scientists;

      • 20% KEDVEZMÉNY?

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        23 882 Ft (22 745 Ft + 5% áfa)
      • Kedvezmény(ek) 20% (cc. 4 776 Ft off)
      • Kedvezményes ár 19 106 Ft (18 196 Ft + 5% áfa)

    23 882 Ft

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    Beszerezhetőség

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    Rövid leírás:

    The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the internet of things. It further presents several case studies on applications of the internet of things, artificial intelligence, and blockchain technology in the field of sustainable energy.

    Több

    Hosszú leírás:

    The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy.



    • Focuses on the integration of smart technology including artificial intelligence and sustainable energy

    • Covers recent advancements in energy management techniques used in residential and commercial energy systems

    • Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy

    • Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis

    • Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy

    The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

    Több

    Tartalomjegyzék:

    Chapter 1
    Recent Developments of Artificial Intelligence for Renewable Energy: Accelerated Material and Process Design
    P Swapna Reddy, Praveen Kumar Ghodke, Kamesh Reddi, Narendra Akiti


    Chapter 2
    Recent Advancements in Artificial Intelligence and Machine Learning in Sustainable Energy Management
    Chiranjit Biswas, Abanishwar Chakraborti, Swanirbhar Majumder


    Chapter 3
    Role of Machine Learning in Renewable Energy
    A. Subarna Kiruthiga, S. Arunkumar, R. Thirisha, J. Felicia Lilian


    Chapter 4  
    Smart Home Energy Management using Non-Intrusive Load Monitoring (NILM): A Deep Learning Perspective
    L N Sastry Varanasi, Sri Phani Krishna Karri


    Chapter 5
    New Scheme of Cost-Load Optimization by Appliance Scheduling in Smart Homes
    Govind Rai Goyal, Shelly Vadhera


    Chapter 6
    A Comparison of Metaheuristic Algorithms for Estimating Solar Cell Parameters using a Single Diode Model
    Abhishek Sharma, Abhinav Sharma, Vibhu Jately, Sumit Pundir, Wei Hong Lim


    Chapter 7
    Review on controlling of BLDC motor via Optimization Techniques for Renewable Energy Applications
    Abhay Chhetri, Nafees Ahamad, Mayank Saklani


    Chapter 8
    Energy Efficient Task Offloading in Edge Computing with Energy Harvesting
    Sonali Deshpande and Nilima Kulkarni


    Chapter 9
    Blockchain Application in Sustainable Energy Solution
    Akanksha Rai, Vikas Thapa, Amit Kumar Mondal, Surajit Mondal

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