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Performance Analysis of Energy Production of Large-Scale Solar Plants Based On Artificial Intelligence by analyticstru is a document available to read on EtoBox.

This study analyzes the performance of the Quaid-e-Azam Solar Park in Pakistan using the ARIMA machine learning model to predict its energy production over the next ten years based on one year of real-time data. The findings indicate an increase in power production to approximately 400 MW and a growth in the plane of array (POA) from 6.8 to 7.8 W/m2, although the performance ratio is expected to decline from 76.7% to 73%. The results suggest that the ARIMA model is an effective tool for forecasting solar po

Author

analyticstru

Language

EN