Price and volatility forecasting in electricity with support vector regression and random forest
Year of publication: |
2021
|
---|---|
Authors: | Kara, Mahmut ; Atici, Kazim Baris ; Ulucan, Aydin |
Published in: |
Applied operations research and financial modelling in energy : practical applications and implications. - Cham, Switzerland : Springer, ISBN 978-3-030-84980-1. - 2021, p. 101-124
|
Subject: | Electricity markets | Price forecasting | Volatility forecasting | Support vector regression | Random forest | Volatilität | Volatility | Prognoseverfahren | Forecasting model | Theorie | Theory | Mustererkennung | Pattern recognition | Regressionsanalyse | Regression analysis | Strompreis | Electricity price | Börsenkurs | Share price | Elektrizität | Electricity | Elektrizitätswirtschaft | Electric power industry |
-
A robust support vector regression model for electric load forecasting
Luo, Jian, (2023)
-
Nie, Rujia, (2024)
-
Reducing complexity in multivariate electricity price forecasting
Kohrs, Hendrik, (2022)
- More ...
-
The measurement of agricultural productivity change in OECD countries with fuzzy data
Atici, Kazim Baris, (2018)
-
Dorsman, A. B., (2021)
-
Elective course assignment problem : a revenue management based approach
Ozbilge, Armagan, (2021)
- More ...