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  • Artificial Intelligence of Things for Smart Green Energy Management

    Artificial Intelligence of Things for Smart Green Energy Management by El Himer, Sarah; Ouaissa, Mariyam; Emhemed, Abdulrahman A. A.;

    Series: Studies in Systems, Decision and Control; 446;

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      • Publisher's listprice EUR 192.59
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        79 876 Ft (76 073 Ft + 5% VAT)
      • Discount 20% (cc. 15 975 Ft off)
      • Discounted price 63 901 Ft (60 858 Ft + 5% VAT)

    79 876 Ft

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed. 2022
    • Publisher Springer International Publishing
    • Date of Publication 24 June 2022
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031048500
    • Binding Hardback
    • No. of pages234 pages
    • Size 235x155 mm
    • Weight 541 g
    • Language English
    • Illustrations XIII, 234 p. 150 illus., 130 illus. in color. Illustrations, black & white
    • 273

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    Long description:

    This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects.

    It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries.

    The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.

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    Table of Contents:

    Artificial Intelligence of Things (AIoT) for Renewable Energies Systems.- Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity.- Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine.- Improving LVRT Capability of a Wind Turbine During a Voltage Sag in the Electrical Network.- Optimization of Two Hybrid Micro-Concentrator Photovoltaic Systems for Car-Roof Application.- Machine Learning-based Maximum Power Point Tracking Technique for Concentrated PV/TEG System under Non-Uniform Environmental Conditions.- Two-Dimensional Nanomaterials for Solar Cell Technology.- Improving Control for an Induction Machine using Artificial Intelligence.- Evaluation of the Recommended Algorithms in the Internet of Things.- Exposing Applications of IoT in Green Computing.

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