Behavior testing of load forecasting models using BuildChecks
Yang Deng, Jiaqi Fan, Hao Jiang, Fang He, Dan Wang, Ao Li, Fu Xiao · 2022
In recent years, machine learning (ML) models have been widely developed for building systems. For example, a number of ML models have been developed to predict the load demand of a building. Current ML models commonly report snap-shot accuracy only. Practitioners have difficulties in understanding how a model behaves in usage, i.e., model accuracy may change during model usage. This raises concerns in the ML-model deployment.