What is the role of AI in predicting the energy production of solar PV systems?

Artificial intelligence (AI) is playing an increasingly important role in the energy production forecasting of solar PV systems. AI can process large amounts of data and perform analyses to provide more accurate forecasts of solar PV system production.

The energy production of a solar PV system depends on a number of factors such as solar radiation intensity, cloud cover, temperature and system performance. The AI can take these factors into account and combine them to provide more accurate predictions of system energy production.

AI algorithms are able to learn from the system's operation and data, so they can provide increasingly accurate predictions over time. The AI can process the data in real time, so it can keep updating forecasts while the system is running.

With the help of AI, solar system operators can plan system operation more accurately and optimise production. Based on the forecasts, system operators can intervene in time if necessary, for example if the system's production is below the forecasted values. This allows for more efficient energy use and cost reduction.

An additional benefit of AI is its ability to make recommendations for system maintenance and optimisation based on the data. AI algorithms can identify potential faults or problems in the system based on the analysis of the data and make recommendations for their resolution.

AI therefore plays a significant role in predicting the energy production of solar PV systems. Predictions make system operation more accurate and reliable, allowing more efficient energy use and cost reduction.

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