Transformers are one of the key elements in electric power systems whose health ensures reliable, stable electric power for the economy and society. Partial discharge (PD) is known to be a symptom of defects in electrical insulation systems, such as those employed in transformers. Detection and localization of PD in transformers are critical to develop a mitigation strategy. The main objective of the proposed research is to develop an artificial intelligence model that is able to predict the location of PD in transformers.