Electricity price forecasting on the day-ahead market using artificial intelligence algorithms

被引：0

作者：

Galinska, Jolanta ^{[1
]}

Terlikowski, Pawel ^{[1
]}

机构：

[1] Warsaw Univ Sci & Technol, Inst Elektroenergetyki, ul Koszykowa 75, PL-00662 Warsaw, Poland

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2024年 / 100卷 / 09期

关键词：

artificial neural networks; electricity price forecasting; day-ahead market; TensorFlow;

D O I：

10.15199/48.2024.09.29

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article presents the application of AI algorithms to predict hourly product prices in the uniform price auction system of the Polish Power Exchange. It involves analyzing the electricity price determination process, identifying factors shaping price curves, reviewing literature on AI methods for electricity price prediction, proposing a research methodology, and modeling solutions using artificial neural networks. Nine variants of multilayer perceptrons with backpropagation were optimized and compared using most common indicators. Results were compared with forecasts from foreign articles for other European markets to evaluate the effectiveness of using AI in predicting electricity prices in the Polish Day-Ahead Market.

引用

页码：156 / 162

页数：7

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