Solar monitoring systems, devices, and methods

A system for analyzing soiling losses, the system comprising:

• a digital microscope;
• and
• a computing device in operable communication with the digital microscope, wherein the computing device comprises a processor and a memory, the memory having computer-executable instructions stored thereon that, when executed by the processor, cause the processor to:
• receive an image of a surface of a solar panel from the digital microscope;
• analyze the image to determine an estimate of soiling losses;
• and
• output the estimate of soiling losses.

A method for analyzing soiling losses, the method comprising:

• generating an image of a surface of a solar panel;
• inputting the image of a surface of the solar panel into a model;
• analyzing, using the model, the image of a surface of the solar panel to determine an estimate of soiling losses;
• and
• outputting, from the model, the estimate of soiling losses.

A method of training a machine learning model to estimate soiling losses, the method comprising:

• receiving training data comprising a plurality of images and corresponding soiling estimations for the plurality of images;
• preprocessing the training data;
• and
• training a machine learning model to estimate soiling loss based on at least the preprocessed training data.