Neural network middle-term probabilistic forecasting of daily power consumption
Year of publication: |
2021
|
---|---|
Authors: | Baviera, Roberto ; Azzone, Michele |
Published in: |
The journal of energy markets. - London : Infopro Digital, ISSN 1756-3607, ZDB-ID 2428804-4. - Vol. 14.2021, 1, p. 1-26
|
Subject: | density forecast | middle term | electricity consumption | machine learning | artifical neural network | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Elektrizität | Electricity | Statistische Verteilung | Statistical distribution | Theorie | Theory |
-
Combination forecasts of tourism demand with machine learning models
Claveria, Oscar, (2016)
-
Heilmann, Erik, (2021)
-
Modeling commodity value at risk with Psi Sigma neural networks using open-high-low-close data
Sermpinis, Georgios, (2015)
- More ...
-
Additive normal tempered stable processes for equity derivatives and power-law scaling
Azzone, Michele, (2022)
-
Synthetic forwards and cost of funding in the equity derivative market
Azzone, Michele, (2021)
-
A fast Monte Carlo scheme for additive processes and option pricing
Azzone, Michele, (2023)
- More ...