Association rule algorithm for weather factors estimation using on-grid solar pv power system

MOHAMMAD A OBEIDAT; AYMAN M MANSOUR; FAYEZ KHAZALAH; JALAL ABDALLAH

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Association rule algorithm for weather factors estimation using on-grid solar pv power system

Author(s)

MOHAMMAD A OBEIDAT Department of Electrical Engineering, Faculty Engineering, Al-Ahliyya Amman University, Amman 19328, Jordan; Department of Electrical Power and Mechatronics Engineering, College of Engineering, Tafila Technical University, Tafila 66110, Jordan

AYMAN M MANSOUR Department of Communications, Electronics, and Computer Engineering, College of Engineering, Tafila Technical University, Tafila 66110, Jordan

FAYEZ KHAZALAH Department of Information Systems, Al al-Bayt University, Mafraq, Jordan

JALAL ABDALLAH Department of Electrical Power and Mechatronics Engineering, College of Engineering, Tafila Technical University, Tafila 66110, Jordan

Abstract

Many stations are established worldwide to measure the weather factors such as temperature, humidity, wind speed, and cloud cover. In this paper, A developed model using association rule mining algorithm is utilized to predict weather factors from real power photovoltaic PV system on-grid. This model is tested on Tafila Technical university PV system data. The developed model contributes successfully as a virtual weather station to forecast the weather in Tafila-Jordan region. The extracted rules of the model are examined by a weather forecasting expert in order to validate the developed system. The results show high confidence and accuracy. The predicted weather factors from PV power values matched approximately 97% of the results given by the experts.

Publication Details

Page(s) 286-297

DOI DOI not available

Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 1, Year: 2022

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Keywords

estimation, Photovoltaic, power, Association Rule, Weather conditions

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