7 citations · 7 across the 3 of their papers we have counts for
3 papers
Intermittent time series forecasting: local vs global models
Stefano Damato, Nicolò Rubattu, Dario Azzimonti +1
Forecasting intermittent time series, which contain zeros, is a crucial challenge in supply chains as inventory policies require probabilistic forecasts to establish safety levels.…
Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies
Nicolò Rubattu, Gabriele Maroni, Giorgio Corani
We describe our experience in developing a predictive model that placed high position in the BigDeal Challenge 2022, an energy competition of load and peak forecasting. We present…
Probabilistic Reconciliation of Count Time Series
Giorgio Corani, Dario Azzimonti, Nicolò Rubattu
Forecast reconciliation is an important research topic. Yet, there is currently neither formal framework nor practical method for the probabilistic reconciliation of count time ser…