A Forecasting Model for the Prediction of System Imbalance in the Greek Power System-Reference-Cited by-同舟云学术

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A Forecasting Model for the Prediction of System Imbalance in the Greek Power System

Published:2023-06-29 Issue: Volume: Page:
ISSN:
Container-title:ITISE 2023
language:
Short-container-title:

Author:

Plakas Konstantinos¹²^ORCID,Andriopoulos Nikos¹²,Birbas Alexios¹,Moraitis Ioannis²,Papalexopoulos Alex³

Affiliation:

1. Electrical and Computer Engineering Department, University of Patras, 26504 Patras, Greece

2. Department of Research, Technology & Development, Independent Power Transmission Operator (IPTO) S.A, 10443 Athens, Greece

3. Ecco International Inc., San Francisco, CA 94104, USA

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/39/1/18/pdf

Reference18 articles.

1. State or market: Investments in new nuclear power plants in France and their domestic and cross-border effects;Zimmermann;Energy Policy,2023

2. IPTO (2023, February 01). Preliminary Draft of the Ten Year Development Plan of HETS for the Period 2024–2033. Available online: https://www.admie.gr/en/nea/anakoinosi/preliminary-draft-ten-year-development-plan-hets-period-2024-2033.

3. A regression-based approach to short-term system load forecasting;Papalexopoulos;IEEE Trans. Power Syst.,1990

4. A novel genetic LSTM model for wind power forecast;Shahid;Energy,2021

5. Gao, F., Guan, X., Cao, X.R., and Papalexopoulos, A. (2000, January 16–20). Forecasting power market clearing price and quantity using a neural network method. Proceedings of the Power Engineering Society Summer Meeting, Seattle, WA, USA.

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