Forecasting different dimensions of liquidity in the intraday electricity markets: A review
Energy consumption increases daily across the world. Electricity is the best means that humankind has found for transmitting energy. This can be said regardless of its origin. Energy transmission is crucial for ensuring the efficient and reliable distribution of electricity from power generation sou...
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Format: | Article |
Language: | English |
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AIMS Press
2023-09-01
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Series: | AIMS Energy |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/energy.2023044?viewType=HTML |
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author | Sameer Thakare Neeraj Dhanraj Bokde Andrés E. Feijóo-Lorenzo |
author_facet | Sameer Thakare Neeraj Dhanraj Bokde Andrés E. Feijóo-Lorenzo |
author_sort | Sameer Thakare |
collection | DOAJ |
description | Energy consumption increases daily across the world. Electricity is the best means that humankind has found for transmitting energy. This can be said regardless of its origin. Energy transmission is crucial for ensuring the efficient and reliable distribution of electricity from power generation sources to end-users. It forms the backbone of modern societies, supporting various sectors such as residential, commercial, and industrial activities. Energy transmission is a fundamental enabler of well-functioning and competitive electricity markets, supporting reliable supply, market integration, price stability, and the integration of renewable energy sources. Electric energy sourced from various regions worldwide is routinely traded within these electricity markets on a daily basis. This paper presents a review of forecasting techniques for intraday electricity markets prices, volumes, and price volatility. Electricity markets operate in a sequential manner, encompassing distinct components such as the day-ahead, intraday, and balancing markets. The intraday market is closely linked to the timely delivery of electricity, as it facilitates the trading and adjustment of electricity supply and demand on the same day of delivery to ensure a balanced and reliable power grid. Accurate forecasts are essential for traders to maximize profits within intraday markets, making forecasting a critical concern in electricity market management. In this review, statistical and econometric approaches, involving various machine learning and ensemble/hybrid techniques, are presented. Overall, the literature highlights the superiority of machine learning and ensemble/hybrid models over statistical models. |
first_indexed | 2024-03-08T22:32:26Z |
format | Article |
id | doaj.art-855a047365fc41ba9d0fa7c33bea938e |
institution | Directory Open Access Journal |
issn | 2333-8334 |
language | English |
last_indexed | 2024-03-08T22:32:26Z |
publishDate | 2023-09-01 |
publisher | AIMS Press |
record_format | Article |
series | AIMS Energy |
spelling | doaj.art-855a047365fc41ba9d0fa7c33bea938e2023-12-18T01:36:03ZengAIMS PressAIMS Energy2333-83342023-09-0111591895910.3934/energy.2023044Forecasting different dimensions of liquidity in the intraday electricity markets: A reviewSameer Thakare0Neeraj Dhanraj Bokde1Andrés E. Feijóo-Lorenzo21. Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur 440010, India2. Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus 8000, Denmark 3. iCLIMATE Aarhus University Interdisciplinary Centre for Climate Change, Foulum, Tjele 8830, Denmark4. Department of Electrical Engineering, University of Vigo, Vigo 36310, SpainEnergy consumption increases daily across the world. Electricity is the best means that humankind has found for transmitting energy. This can be said regardless of its origin. Energy transmission is crucial for ensuring the efficient and reliable distribution of electricity from power generation sources to end-users. It forms the backbone of modern societies, supporting various sectors such as residential, commercial, and industrial activities. Energy transmission is a fundamental enabler of well-functioning and competitive electricity markets, supporting reliable supply, market integration, price stability, and the integration of renewable energy sources. Electric energy sourced from various regions worldwide is routinely traded within these electricity markets on a daily basis. This paper presents a review of forecasting techniques for intraday electricity markets prices, volumes, and price volatility. Electricity markets operate in a sequential manner, encompassing distinct components such as the day-ahead, intraday, and balancing markets. The intraday market is closely linked to the timely delivery of electricity, as it facilitates the trading and adjustment of electricity supply and demand on the same day of delivery to ensure a balanced and reliable power grid. Accurate forecasts are essential for traders to maximize profits within intraday markets, making forecasting a critical concern in electricity market management. In this review, statistical and econometric approaches, involving various machine learning and ensemble/hybrid techniques, are presented. Overall, the literature highlights the superiority of machine learning and ensemble/hybrid models over statistical models.https://www.aimspress.com/article/doi/10.3934/energy.2023044?viewType=HTMLelectricity marketintraday marketforecastselectricity pricestrading volumevolatility |
spellingShingle | Sameer Thakare Neeraj Dhanraj Bokde Andrés E. Feijóo-Lorenzo Forecasting different dimensions of liquidity in the intraday electricity markets: A review AIMS Energy electricity market intraday market forecasts electricity prices trading volume volatility |
title | Forecasting different dimensions of liquidity in the intraday electricity markets: A review |
title_full | Forecasting different dimensions of liquidity in the intraday electricity markets: A review |
title_fullStr | Forecasting different dimensions of liquidity in the intraday electricity markets: A review |
title_full_unstemmed | Forecasting different dimensions of liquidity in the intraday electricity markets: A review |
title_short | Forecasting different dimensions of liquidity in the intraday electricity markets: A review |
title_sort | forecasting different dimensions of liquidity in the intraday electricity markets a review |
topic | electricity market intraday market forecasts electricity prices trading volume volatility |
url | https://www.aimspress.com/article/doi/10.3934/energy.2023044?viewType=HTML |
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