Work

Forecasting electricity prices for intraday markets using machine learning

Year: 2025

Type: conference-paper

Source: IET conference proceedings.

DOI: 10.1049/icp.2024.4630

Authors: Iasonas Kouveliotis-Lysikatos, Panagiotis-Christos Kotsias, Mikael Amelin

Institutions: University of Peloponnese, KTH Royal Institute of Technology

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4408024514

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