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cs.LG2025
An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures
Pablo Rodríguez-Bocca, Guillermo Pereira, Diego Kiedanski +3
In recent years, great progress has been made in the field of forecasting meteorological variables. Recently, deep learning architectures have made a major breakthrough in forecast…
cs.LG2022
Identification of medical devices using machine learning on distribution feeder data for informing power outage response
Paraskevi Kourtza, Maitreyee Marathe, Anuj Shetty +1
Power outages caused by extreme weather events due to climate change have doubled in the United States in the last two decades. Outages pose severe health risks to over 4.4 million…