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  • Sustainable Electrical Power Resources through Energy Optimization and Future Engineering

    Sustainable Electrical Power Resources through Energy Optimization and Future Engineering by Sulaiman, Shaharin Anwar; Kannan, Ramani; Karim, Samsul Ariffin Abdul; Mohd Nor, Nursyarizal;

    Series: SpringerBriefs in Energy;

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      • Publisher's listprice EUR 53.49
      • 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.

        22 184 Ft (21 128 Ft + 5% VAT)
      • Discount 20% (cc. 4 437 Ft off)
      • Discounted price 17 748 Ft (16 902 Ft + 5% VAT)

    22 184 Ft

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    Product details:

    • Edition number 1st ed. 2018
    • Publisher Springer Nature Singapore
    • Date of Publication 19 June 2018
    • Number of Volumes 1 pieces, Book

    • ISBN 9789811304347
    • Binding Paperback
    • No. of pages93 pages
    • Size 235x155 mm
    • Weight 454 g
    • Language English
    • Illustrations X, 93 p. 67 illus., 46 illus. in color. Illustrations, black & white
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    Long description:

    This book presents recent science and engineering research in the field of conventional and renewable energy, energy efficiency and optimization, discussing problems such as availability, peak load and reliability of sustainable supply for power to consumers. Such research is imperative since efficient and environmentally friendly solutions are critical in modern electricity production and transmission.

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    Table of Contents:

    Load Frequency Control in the Deregulated Environment for the Future Green Energy Network.- Forecasting Solar Radiation Data Using Gaussian and Polynomial Fitting Methods.- Load Profiling and Optimizing Energy Management Systems towards Green Building Index.- Planning of Distributed Energy Resources Using Genetic Algorithm.- Feasibility Study of using Hybrid Renewable Energy to Supply Unmanned Offshore Platform.- The Effect of Simpler Neill’s Mapping Function Models Using non Linear Regression Method on Tropospheric Delay.

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