2024
DOI: 10.3390/commodities3030016
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Electricity GANs: Generative Adversarial Networks for Electricity Price Scenario Generation

Bilgi Yilmaz,
Christian Laudagé,
Ralf Korn
et al.

Abstract: The dynamic structure of electricity markets, where uncertainties abound due to, e.g., demand variations and renewable energy intermittency, poses challenges for market participants. We propose generative adversarial networks (GANs) to generate synthetic electricity price data. This approach aims to provide comprehensive data that accurately reflect the complexities of the actual electricity market by capturing its distribution. Consequently, we would like to equip market participants with a versatile tool for… Show more

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