4 citations · 11 across the 5 of their papers we have counts for
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cs.LG2019★ 2 cited
Ensembling methods for countrywide short term forecasting of gas demand
Emanuele Fabbiani, Andrea Marziali, Giuseppe De Nicolao
Gas demand is made of three components: Residential, Industrial, and Thermoelectric Gas Demand. Herein, the one-day-ahead prediction of each component is studied, using Italian dat…
cs.CY2019★ 1 cited
Forecasting residential gas demand: machine learning approaches and seasonal role of temperature forecasts
Andrea Marziali, Emanuele Fabbiani, Giuseppe De Nicolao
Gas demand forecasting is a critical task for energy providers as it impacts on pipe reservation and stock planning. In this paper, the one-day-ahead forecasting of residential gas…