1 citations · 1 across the 2 of their papers we have counts for
3 papers
Two-Stage Data-Driven Contextual Robust Optimization: An End-to-End Learning Approach for Online Energy Applications
Carlos Gamboa, Alexandre Street, Davi Valladão +1
Traditional end-to-end contextual robust optimization models are trained for specific contextual data, requiring complete retraining whenever new contextual information arrives. Th…
Assessing the Optimistic Bias in the Natural Inflow Forecasts: A Call for Model Monitoring in Brazil
Arthur Brigatto, Alexandre Street, Cristiano Fernandes +3
Hydroelectricity accounted for roughly 61.4% of Brazil's total generation in 2024 and addressed most of the intermittency of wind and solar generation. Thus, inflow forecasting pla…
Time Series Analysis by State Space Learning
André Ramos, Davi Valladão, Alexandre Street
Time series analysis by state-space models is widely used in forecasting and extracting unobservable components like level, slope, and seasonality, along with explanatory variables…