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Online Fuzzy Logic Base Algorithm for Electricity Price Prediction
Albayed, Moamin J. Al-Ali, Abdul-Rahman Shaaban, Mostafa
Albayed, Moamin J.
Al-Ali, Abdul-Rahman
Shaaban, Mostafa
Description
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.