Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fuzzy Logic Control in Energy Systems: With Design Examples in Matlab(r)/Simulink(r)

Fuzzy Logic Control in Energy Systems: With Design Examples in Matlab(r)/Simulink(r)

Altaş, İsmail Hakkı

Hardcover

Series: Energy Engineering

Technology & EngineeringGeneral MathematicsProgramming

ISBN10: 1839538821
ISBN13: 9781839538827
Publisher: Institution of Engineering & Technology
Published: Aug 6 2024
Pages: 597
Weight: 2.23
Height: 1.31 Width: 6.14 Depth: 9.21
Language: English

Fuzzy models have the capability of recognising, representing, and working with data that is vague or lacks certainty, making them suitable for managing electrical energy systems involving intermittent distributed generation and varying distributed loads.

The second edition of Fuzzy Logic Control in Energy Systems has been revised and updated with new topics including shade and integration issues in PV, microgrids, cybersecurity in power systems, and day-ahead estimation of sun and wind data. Starting with a review of fuzzy logic, chapters cover fuzzy sets and partitioning, fuzzy decision making, fuzzy logic controllers (FLC), and system modelling and control. The application of FLC in power systems, wind energy, PV energy systems and microgrids is then explored.

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