Shohei Miyata (Akashi laboratory, PhD student, 2nd year) won the Best Student Paper Award (1st Prize) at the 4th Asia Conference of International Building Performance Simulation Association (ASim2018) held at Hong Kong Polytechnic University during 3rd to 5th, December 2018.

The proceeding was entitled “Model-Based Fault Detection and Diagnosis Using Convolutional Neural Networks in Heat Source System with Water Thermal Storage Tanks” and proposed a method to detect and diagnose faults in heat source system using deep learning and a detailed system simulation that is originally developed.