Machine learning can be used for maximum power point tracking (MPPT) in solar panels. The goal of MPPT is to extract the maximum amount of power from the solar panel by adjusting the load impedance and duty cycle of the DC-DC converter.

Here's a general approach for how a machine learning system could work for MPPT:

Regarding your specific questions:

• The machine learning system would not extract power directly, but it would predict the maximum power point, which can then be used to adjust the load impedance and duty cycle of the DC-DC converter to extract maximum power.
• The duty cycle of the boost converter would be adjusted based on the predicted maximum power point. The boost converter itself would still need to be built separately.
• Yes, you would need to build a boost converter to implement the MPPT system. The machine learning system would only predict the maximum power point, which would then be used to adjust the duty cycle of the boost converter to extract maximum power.

You should remove the "Microsoft Office Powerpoint" tag from your question ;)

@ahmed khalid

Thats really helped me , thanks alot