Online Fuzzy Logic Base Algorithm for Electricity Price Prediction
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 predict...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/16278 |
| الوسوم: |
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| الملخص: | 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. |
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