Open-Source High-Fidelity Aggregate Composite Load Models of Emerging Load Behaviors for Large-Scale Analysis (GMLC 0064)

1. Machine learning methods such as cross-correlation, random forest, regression tree and transfer learning are used to estimate the load composition data and motor protection profiles for different climante regions in the Western US
2. Deep learning algorithm is appplied to calibrate the parameters of WECC
composite load model to match the responses with detailed feeder model