56 citations · 96 across the 11 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.AI2022★ 4 cited
Predict+Optimize Problem in Renewable Energy Scheduling
Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25
Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…
cs.LG2022★ 1 cited
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
Rakshitha Godahewa, Geoffrey I. Webb, Daniel Schmidt +1
Threshold Autoregressive (TAR) models have been widely used by statisticians for non-linear time series forecasting during the past few decades, due to their simplicity and mathema…