Consideration of XAI in Inflow Prediction Model Using Convolutional Neural Network

Abstract

With the development of AI technology, various inflow prediction methods have been proposed, but to increase reliability and realize social implementation, it is necessary to show the grounds leading up to prediction and ensure the validity of the prediction results. In this study, the target basin is the Gonokawa Haji dam basin, and an inflow prediction model was constructed using a convolutional neural network with the radar-raingauge analyzed precipitation of the Japan Meteorological Agency as the input condition. We applied XAI (explainable AI) technology to this model and visualized and considered the basis of the pre- diction. As a result of the consideration, the validity of the inflow prediction model was confirmed.