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Their calculations indicate that the average estimated temperature of the daytime module is 2.61 degrees Celsius, while at night, this value drops to 0.90 degrees Celsius, making temperature predictions more accurate. The model was also found to underestimate the module temperature, with an average deviation error (MBE) of approximately 1.64 degrees Celsius during the day.

MAE defines the average size of errors in a set of predictions, regardless of their direction, while MBE captures the average deviation in the prediction. The results indicate that due to the lower temperature deviation of the components, yield prediction is better on cloudy days, "the research team said. This model overestimates power output, with MAE and MBE of 3.43 and 3.35w/m2, respectively

The expert group also determined that the impact of heat capacity values on the analysis results can be ignored. Therefore, it can be concluded that transient analysis is not required for hourly performance analysis of photovoltaic modules under semi-arid climate conditions; steady-state thermal simulation will provide satisfactory results, "they concluded.

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