Investigation of Day-ahead Price Forecasting Models in the Finnish Electricity Market

Daniel Zaroni, Arthur Piazzi, Tamás Tettamanti, Ádám Sleisz

2020

Abstract

The electricity market is a rather complex market and the prices depend on several different factors. The price dynamics are bound to get even more volatile, with a stronger integration between European electricity markets and the increasing share of renewable energy sources. Therefore, the development of accurate electricity price forecasting methods has increasing importance in the field. This paper investigates the performance of several deep learning models for the Finnish electricity market. The investigation comprehends different architectures types, data aggregation schemes as well as pre-training method. In this manner, this work does not only presents new forecasting methods but also gives valuable comparison between approaches.

Paper Citation

in Harvard Style

Zaroni D., Piazzi A., Tettamanti T. and Sleisz Á. (2020). Investigation of Day-ahead Price Forecasting Models in the Finnish Electricity Market. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 829-835. DOI: 10.5220/0009140908290835

in Bibtex Style

@conference{icaart20,
author={Daniel Zaroni and Arthur Piazzi and Tamás Tettamanti and Ádám Sleisz},
title={Investigation of Day-ahead Price Forecasting Models in the Finnish Electricity Market},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={829-835},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009140908290835},
isbn={978-989-758-395-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Investigation of Day-ahead Price Forecasting Models in the Finnish Electricity Market
SN - 978-989-758-395-7
AU - Zaroni D.
AU - Piazzi A.
AU - Tettamanti T.
AU - Sleisz Á.
PY - 2020
SP - 829
EP - 835
DO - 10.5220/0009140908290835