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October 10, 2025Deleted JournalOpen Access

Forecasting Electicity in Photovoltaic Power Plants

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The ANN model achieved high predictive accuracy for forecasting electricity production from PV systems, ensuring reliable energy management.
The predictive model utilized meteorological inputs such as direct normal irradiation, diffuse radiation, and temperature data over a seven-year period.
Developed for rooftop photovoltaic power plants, the model supports effective integration of solar energy into existing power grids.
While the model was trained on historical data from 2017 to 2023, it indicates potential for future electricity forecasting under similar conditions.

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Artificial neural network forecasts electricity production in rooftop photovoltaic systems, indicating reliable energy management.

Ijačić et al. (2025) studied this question.

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