2 papers
cs.DC2025
Distributed Seasonal Temporal Pattern Mining
Van Ho-Long, Nguyen Ho, Anh-Vu Dinh-Duc +4
The explosive growth of IoT-enabled sensors is producing enormous amounts of time series data across many domains, offering valuable opportunities to extract insights through tempo…
cs.LG2025
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
Quoc Viet Nguyen, Joaquin Delgado Fernandez, Sergio Potenciano Menci
Short term Load Forecasting (STLF) plays an important role in traditional and modern power systems. Most STLF models predominantly exploit temporal dependencies from historical dat…