Electricity Spot Price Forecast by Modelling Supply and Demand Curve

Electricity price forecasting has been a booming field over the years, with many methods and techniques being applied with different degrees of success. It is of great interest to the industry sector, becoming a must-have tool for risk management. Most methods forecast the electricity price itself;...

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Main Authors: Miguel Pinhão, Miguel Fonseca, Ricardo Covas
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/12/2012
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author Miguel Pinhão
Miguel Fonseca
Ricardo Covas
author_facet Miguel Pinhão
Miguel Fonseca
Ricardo Covas
author_sort Miguel Pinhão
collection DOAJ
description Electricity price forecasting has been a booming field over the years, with many methods and techniques being applied with different degrees of success. It is of great interest to the industry sector, becoming a must-have tool for risk management. Most methods forecast the electricity price itself; this paper gives a new perspective to the field by trying to forecast the dynamics behind the electricity price: the supply and demand curves originating from the auction. Given the complexity of the data involved which include many block bids/offers per hour, we propose a technique for market curve modeling and forecasting that incorporates multiple seasonal effects and known market variables, such as wind generation or load. It is shown that this model outperforms the benchmarked ones and increases the performance of ensemble models, highlighting the importance of the use of market bids in electricity price forecasting.
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spelling doaj.art-d062e39ad5164011901c2370b4e4683d2023-11-23T17:48:17ZengMDPI AGMathematics2227-73902022-06-011012201210.3390/math10122012Electricity Spot Price Forecast by Modelling Supply and Demand CurveMiguel Pinhão0Miguel Fonseca1Ricardo Covas2NOVA School of Science and Technology, Department of Mathematics, NOVA Math, 2829-516 Caparica, PortugalNOVA School of Science and Technology, Department of Mathematics, NOVA Math, 2829-516 Caparica, PortugalEDP—Energias de Portugal, 1249-300 Lisboa, PortugalElectricity price forecasting has been a booming field over the years, with many methods and techniques being applied with different degrees of success. It is of great interest to the industry sector, becoming a must-have tool for risk management. Most methods forecast the electricity price itself; this paper gives a new perspective to the field by trying to forecast the dynamics behind the electricity price: the supply and demand curves originating from the auction. Given the complexity of the data involved which include many block bids/offers per hour, we propose a technique for market curve modeling and forecasting that incorporates multiple seasonal effects and known market variables, such as wind generation or load. It is shown that this model outperforms the benchmarked ones and increases the performance of ensemble models, highlighting the importance of the use of market bids in electricity price forecasting.https://www.mdpi.com/2227-7390/10/12/2012electricity price forecastelectricitymarket curveselectricity pricevector auto regressiontime-series
spellingShingle Miguel Pinhão
Miguel Fonseca
Ricardo Covas
Electricity Spot Price Forecast by Modelling Supply and Demand Curve
Mathematics
electricity price forecast
electricity
market curves
electricity price
vector auto regression
time-series
title Electricity Spot Price Forecast by Modelling Supply and Demand Curve
title_full Electricity Spot Price Forecast by Modelling Supply and Demand Curve
title_fullStr Electricity Spot Price Forecast by Modelling Supply and Demand Curve
title_full_unstemmed Electricity Spot Price Forecast by Modelling Supply and Demand Curve
title_short Electricity Spot Price Forecast by Modelling Supply and Demand Curve
title_sort electricity spot price forecast by modelling supply and demand curve
topic electricity price forecast
electricity
market curves
electricity price
vector auto regression
time-series
url https://www.mdpi.com/2227-7390/10/12/2012
work_keys_str_mv AT miguelpinhao electricityspotpriceforecastbymodellingsupplyanddemandcurve
AT miguelfonseca electricityspotpriceforecastbymodellingsupplyanddemandcurve
AT ricardocovas electricityspotpriceforecastbymodellingsupplyanddemandcurve