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    Online Fuzzy Logic Base Algorithm for Electricity Price Prediction

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    Date
    2017
    Author
    Albayed, Moamin J.
    Al-Ali, Abdul-Rahman
    Shaaban, Mostafa
    Advisor(s)
    Unknown advisor
    Type
    Article
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    Abstract
    This paper presents a web-based system to predict the electricity prices. The proposed system captures the geographical location, weather forecast, and oil price for one week ahead. The captured parameters are fed to a fuzzy-logic-based algorithm to calculate electric energy prices. Based on predicted electricity prices, consumers can turn ON/OFF or reschedule operations of their home appliances to reduce their electricity bill. The proposed algorithm was developed and hosted in a utility server (U-server). On the consumer side, a home gateway (H-gateway), and a monitoring and control system was designed, built, and tested by using a single chip microcontroller.
    DSpace URI
    http://hdl.handle.net/11073/16278
    External URI
    http://dx.doi.org/10.11989/JEST.1674-862X.70801095
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