In this article, we'll delve into the challenges posed by solar panel shading, explore the potential issues that can occur with failing bypass diodes, and explain how they can be avoided using optimisers, microinverters, or smart shade-aware inverters. Shading occurs when an object blocks sunlight from reaching the solar panel's surface. This study investigates the application of convolutional neural networks (CNNs) for the automated detection and classification of shading faults, including multiple severity levels, using. Partially shaded solar panels can result in a significant decline in performance. Panels contain internal bypass diodes that help mitigate the effects of shading. hotovoltaic (PV) systems, a critical consideration for optimizing solar energy generation. Common faults discussed include panel degradation, electrical issues, inverter failures, and grid disturbances, all of which affect system efficiency and safety. While traditional diagnostics like thermal imaging and V-I curve analysis offer valuable insights, they mostly detect issues reactively.