Abstract
The market-clearing price determined in the electricity market is of great importance for the market players trading in electricity. The market-clearing price constitutes the core of the buying and selling transactions in the electricity market. Knowing what the price of the product, service or commodity to be bought and / or sold would be, provides a great competitive advantage to the relevant party over the person or organization carrying out the relevant commercial activity. It is important to successfully predict the market-clearing price in the market in order to set strategy and game plan and implement risk management. For this purpose, in this study, a model using only publicly available input data on Keras, a deep learning library, is used to predict hourly market-clearing price in Turkish Day-Ahead Electricity Market. Despite the high economic and financial uncertainty and price fluctuations in 2021, the proposed model showed a high performance with a MAPE value of 2.5% and it is clear that the model is successful and applicable in real market conditions.
Original language | English |
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Title of host publication | Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 517-522 |
Number of pages | 6 |
ISBN (Electronic) | 9781665469258 |
DOIs | |
Publication status | Published - 2022 |
Event | 4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 - Cappadocia, Turkey Duration: 14 Jun 2022 → 17 Jun 2022 |
Publication series
Name | Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022 |
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Conference
Conference | 4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 |
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Country/Territory | Turkey |
City | Cappadocia |
Period | 14/06/22 → 17/06/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- deep learning
- electricity market
- forecasting
- keras
- market-clearing price