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Found 3 papers, 1 papers with code
Ensembling methods for countrywide short term forecasting of gas demand
Gas demand is made of three components: Residential, Industrial, and Thermoelectric Gas Demand.
Forecasting residential gas demand: machine learning approaches and seasonal role of temperature forecasts
On the Italian data, it is shown that temperature forecast errors account for some 18% of the mean squared error of gas demand forecasts provided by ANN.
Fast calibration of two-factor models for energy option pricing
Energy companies need efficient procedures to perform market calibration of stochastic models for commodities.
Pricing of Securities
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