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About Thesis Voronin
This document is the thesis of Sergey Voronin for the degree of Doctor of Science in Technology from Lappeenranta University of Technology in Finland. The thesis proposes a hybrid methodology for accurately predicting day-ahead electricity prices in the Finnish energy market, including price spikes. It begins with an introduction and literature review on electricity price forecasting. It then describes the structure of the Nordic electricity market and factors affecting supply and demand. Next, it discusses classical approaches to electricity price modelling and forecasting, including linear regression, ARMA/GARCH models, and Ornstein-Uhlenbeck processes. The thesis proposes a hybrid model applying an iterative search procedure to select optimal explanatory variables for price forecasting. Numerical case
Detailed Information
| Author: | ['Job K Simon'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 181 |
| Language: | English |
| Format: | |
| Price: | FREE |
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