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Forecasting electricity prices from the state-of-the-art modeling technology and the price determinant perspectives
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Brian M. Lucey
Research in International Business and Finance, Volume: 67, Start page: 102132
Swansea University Author:
Mohammad Abedin
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DOI (Published version): 10.1016/j.ribaf.2023.102132
Abstract
Accurate electricity price forecasting (EPF) is crucial to participants and decision-makers within the electricity market. This paper reviews 62 screened literature works on EPF during 2012–2022 in terms of model structure and determinants of electricity price and discusses the evaluation process, m...
| Published in: | Research in International Business and Finance |
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| ISSN: | 0275-5319 1878-3384 |
| Published: |
Elsevier BV
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa64760 |
| Abstract: |
Accurate electricity price forecasting (EPF) is crucial to participants and decision-makers within the electricity market. This paper reviews 62 screened literature works on EPF during 2012–2022 in terms of model structure and determinants of electricity price and discusses the evaluation process, model type, research sample, and prediction horizon. From the above efforts, we find that (1) data preprocessing and model optimization are often used to improve forecasting model accuracy; while performance evaluation is essential, extensive performance evaluation benchmarking is still missing; (2) considering electricity price determinants can significantly improve forecasting model accuracy, but there is disagreement over how many and which determinants should be accounted for; (3) while most existing research focuses on point forecasting, interval and density forecasting are more responsive to the range and uncertainty of electricity price changes. |
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| Keywords: |
Determinants of electricity price, Dual decomposition method, Electricity price forecasting, Model optimization, Model structure |
| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
This work was supported by the National Social Science Foundation of China (No. 20BJL058). |
| Start Page: |
102132 |