Data Mining and Analysis for off Grid Solar PV Power System
From: International Journal of Digital Information and Wireless Communications(Vol. 7, Issue 2)
Publisher: The Society of Digital Information and Wireless Communications
Document Type: Report
Length: 2,671 words
Solar power generation systems production changes with respect to geographical location. By this paper we studied how solar systems behave in Gaza which is located in the Middle East. Log readings of off grid solar PV power supply system included PV module, array combiner, off grid inverter, battery and load. Data entered many techniques of data mining to discover the hidden and meaningful patterns, and to analyze results. Classification was applied to discover rules which can help in supporting solar power system functionality of alerting about expected power generation and needed costs. Association rules were applied to find relationships between variables and plot events of power changing. Clustering were used to categorize power production values and study properties of each. The scope of study extended to discover effects of solar and moon months, input voltage and charging current, daytime hours, daytime temperatures, and effects of week days on power generation. Resulting knowledge were novel, actionable, understandable, and valid. This was stated by tracking the confidence rates and applying evaluation by cross validation. KEYWORDS Renewable energy, Solar systems, PV power generation, data mining, Knowledge Discovery in Database.
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