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 fu...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.展开更多
基金supported by the American University of Sharjah under Master Project COE-699-F15S16
文摘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.
