Abstract: The availability of high-fidelity time-series data is essential for distribution grid operations such as state estimation, prediction, protection, and scheduling of distributed energy ...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...
Abstract: Microseismic monitoring during mining operations generates spatiotemporal data that could indicate strata fractures and deformations leading to water inrush anomalies. However, current water ...