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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Main Authors: Sameer Thakare, Neeraj Dhanraj Bokde, Andrés E. Feijóo-Lorenzo
Format: Article
Language:English
Published: AIMS Press 2023-09-01
Series:AIMS Energy
Subjects:
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.
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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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