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dc.contributor.authorAlbayed, Moamin J.
dc.contributor.authorAl-Ali, Abdul-Rahman
dc.contributor.authorShaaban, Mostafa
dc.date.accessioned2018-10-31T08:47:44Z
dc.date.available2018-10-31T08:47:44Z
dc.date.issued2017
dc.identifier.citationAlbayed, Moamin J., A. R. Al-Ali, and Mostafa Shaaban. "Online Fuzzy Logic Base Algorithm for Electricity Price Prediction." Journal of Electronic Science and Technology 15, no. 4 (2017): 371-376.en_US
dc.identifier.issn1674-862X
dc.identifier.urihttp://hdl.handle.net/11073/16278
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.publisherJournal of Electronic Science and Technologyen_US
dc.relation.ispartofseriesJournal of Electronic Science and Technology,en_US
dc.relation.urihttp://dx.doi.org/10.11989/JEST.1674-862X.70801095en_US
dc.subjectElectricity tariffen_US
dc.subjectFuzzy logicen_US
dc.subjectHome automationen_US
dc.subjectSmart energyen_US
dc.titleOnline Fuzzy Logic Base Algorithm for Electricity Price Predictionen_US
dc.typeArticleen_US
dc.identifier.doi10.11989/JEST.1674-862X.70801095


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