Skip to main content

2012 | OriginalPaper | Buchkapitel

Short-Term Electricity Market Prices: A Review of Characteristics and Forecasting Methods

verfasst von : Hamid Zareipour

Erschienen in: Handbook of Networks in Power Systems I

Verlag: Springer Berlin Heidelberg

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this chapter, short-term electricity price modeling and forecasting in competitive electricity markets is presented. Dominant characteristics of short-term electricity prices such as, seasonality, non-stationarity, spikes and volatility are discussed and numerical examples from real-life markets are presented. A review of the existing literature on short-term electricity price forecasting is also provided, followed by an overview of the process of building data-driven models for electricity prices. Furthermore, some popular time series models for electricity market price modeling and forecasting, such as ARIMA models, are discussed. A case study is also presented in which Ontario electricity market prices are modeled and 24-h-ahead forecast are generated.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Fußnoten
1
Electric energy and operating reserves markets in Ontario are based on a joint uniform market clearing pricing scheme. The average of the 12 five-minute energy market clearing prices (MCPs) over an hour is defined as the HOEP. The HOEP uniformly applies to all load zones and generators within the province, and forms the basis of most of the financial settlements. The transmission system is ignored when calculating Ontario MCPs [13].
 
Literatur
1.
Zurück zum Zitat Bhattacharya K, Bollen MH, Dallder JE (2001) Operation of restructured power systems. Kluwer, BostonCrossRef Bhattacharya K, Bollen MH, Dallder JE (2001) Operation of restructured power systems. Kluwer, BostonCrossRef
2.
Zurück zum Zitat Conejo AJ, Nogales FJ, Arroyo JM (2002) Price-taker bidding strategy under price uncertainty. IEEE Trans Power Syst 17(4):1081–1088CrossRef Conejo AJ, Nogales FJ, Arroyo JM (2002) Price-taker bidding strategy under price uncertainty. IEEE Trans Power Syst 17(4):1081–1088CrossRef
3.
Zurück zum Zitat Vehvilinen I, Keppo J (2003) Managing electricity market price risk. Eur J Oper Res 145(1):136–147MATHCrossRef Vehvilinen I, Keppo J (2003) Managing electricity market price risk. Eur J Oper Res 145(1):136–147MATHCrossRef
4.
Zurück zum Zitat Conejo A, Garcia-Bertrand R, Diaz-Salazar M (2005) Generation maintenance scheduling in restructured power systems. IEEE Trans Power Syst 20(2):984–992CrossRef Conejo A, Garcia-Bertrand R, Diaz-Salazar M (2005) Generation maintenance scheduling in restructured power systems. IEEE Trans Power Syst 20(2):984–992CrossRef
5.
Zurück zum Zitat Nogales FJ, Contreras J, Conejo AJ, Espinola R (2002) Forecasting next-day electricity prices by time series models. IEEE Trans Power Syst 17(2):342–348CrossRef Nogales FJ, Contreras J, Conejo AJ, Espinola R (2002) Forecasting next-day electricity prices by time series models. IEEE Trans Power Syst 17(2):342–348CrossRef
6.
Zurück zum Zitat Huisman R, Mahieu RJ (2003) Regime jumps in electricity prices. Energ Econ 25(5):425–434CrossRef Huisman R, Mahieu RJ (2003) Regime jumps in electricity prices. Energ Econ 25(5):425–434CrossRef
7.
Zurück zum Zitat Ruibal C, Mazumdar M (2008) Forecasting the mean and the variance of electricity prices in deregulated markets. IEEE Trans Power Syst 23(1):25–32CrossRef Ruibal C, Mazumdar M (2008) Forecasting the mean and the variance of electricity prices in deregulated markets. IEEE Trans Power Syst 23(1):25–32CrossRef
8.
Zurück zum Zitat Gonzalez AM, Roque AMS, Garcia-Gonzalez J (2005) Modeling and forecasting electricity prices with input/output hidden Markov models. IEEE Trans Power Syst 20(1):13–24CrossRef Gonzalez AM, Roque AMS, Garcia-Gonzalez J (2005) Modeling and forecasting electricity prices with input/output hidden Markov models. IEEE Trans Power Syst 20(1):13–24CrossRef
9.
Zurück zum Zitat Niimura T (2006) Forecasting techniques for deregulated electricity market prices - extended survey. In: 2006 IEEE PES power systems conference and exposition PSCE’06, Atlanta, 2006, pp 51–56 Niimura T (2006) Forecasting techniques for deregulated electricity market prices - extended survey. In: 2006 IEEE PES power systems conference and exposition PSCE’06, Atlanta, 2006, pp 51–56
10.
Zurück zum Zitat Vehviläinen I, Pyykkönen T (2005) Stochastic factor model for electricity spot price–the case of the nordic market. Energ Econ 27(2):351–367, special Issue on Electricity MarketsCrossRef Vehviläinen I, Pyykkönen T (2005) Stochastic factor model for electricity spot price–the case of the nordic market. Energ Econ 27(2):351–367, special Issue on Electricity MarketsCrossRef
11.
Zurück zum Zitat Zareipour H, Canizares C, Bhattacharya K, Thomson J (2006) Application of public-domain market information to forecast Ontario wholesale electricity prices. IEEE Trans Power Syst 21(4):1707–1717CrossRef Zareipour H, Canizares C, Bhattacharya K, Thomson J (2006) Application of public-domain market information to forecast Ontario wholesale electricity prices. IEEE Trans Power Syst 21(4):1707–1717CrossRef
12.
Zurück zum Zitat Weron R (2006) Modeling and forecasting electricity loads and prices: a statistical approach. Wiley, ChichesterCrossRef Weron R (2006) Modeling and forecasting electricity loads and prices: a statistical approach. Wiley, ChichesterCrossRef
13.
Zurück zum Zitat Zareipour H, Canizares CA, Bhattacharya K (2007) The operation of Ontario’s competitive electricity market: overview, experiences, and lessons. IEEE Trans Power Syst 22(4):1782–1793CrossRef Zareipour H, Canizares CA, Bhattacharya K (2007) The operation of Ontario’s competitive electricity market: overview, experiences, and lessons. IEEE Trans Power Syst 22(4):1782–1793CrossRef
14.
Zurück zum Zitat Box GEP, Jenkins GM, Reinsel GC (1994) Time series analysis, forecasting and control. Prentice Hall, Englewood CliffsMATH Box GEP, Jenkins GM, Reinsel GC (1994) Time series analysis, forecasting and control. Prentice Hall, Englewood CliffsMATH
15.
Zurück zum Zitat Zhao JH, Dong ZY, Li X, Wong KP (2007) A framework for electricity price spike analysis with advanced data mining methods. IEEE Trans Power Syst 22(1):376–385CrossRef Zhao JH, Dong ZY, Li X, Wong KP (2007) A framework for electricity price spike analysis with advanced data mining methods. IEEE Trans Power Syst 22(1):376–385CrossRef
17.
Zurück zum Zitat Li Y, Flynn PC (2004) Deregulated power prices: comparison of volatility. Energ Policy 32(14):1591–1601CrossRef Li Y, Flynn PC (2004) Deregulated power prices: comparison of volatility. Energ Policy 32(14):1591–1601CrossRef
18.
Zurück zum Zitat Zareipour H, Bhattacharya K, Canizares C (2007) Electricity market price volatility: the case of Ontario. Energ Policy 35(9):4739–4748CrossRef Zareipour H, Bhattacharya K, Canizares C (2007) Electricity market price volatility: the case of Ontario. Energ Policy 35(9):4739–4748CrossRef
20.
Zurück zum Zitat Amjady N, Keynia F (2009) Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm. IEEE Trans Power Syst 24(1):306–318CrossRef Amjady N, Keynia F (2009) Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm. IEEE Trans Power Syst 24(1):306–318CrossRef
21.
Zurück zum Zitat Lora A, Santos J, Exposito A, Ramos J, Santos J (2007) Electricity market price forecasting based on weighted nearest neighbors techniques. IEEE Trans Power Syst 22(3):1294–1301CrossRef Lora A, Santos J, Exposito A, Ramos J, Santos J (2007) Electricity market price forecasting based on weighted nearest neighbors techniques. IEEE Trans Power Syst 22(3):1294–1301CrossRef
22.
Zurück zum Zitat Bompard E, Ciwei G, Napoli R, Torelli F (2007) Dynamic price forecast in a competitive electricity market. IET Gener Transm Distrib 1(5):776–783CrossRef Bompard E, Ciwei G, Napoli R, Torelli F (2007) Dynamic price forecast in a competitive electricity market. IET Gener Transm Distrib 1(5):776–783CrossRef
23.
Zurück zum Zitat Weron R, Misiorek A (2008) Forecasting spot electricity prices: a comparison of parametric and semiparametric time series models. Int J Forecast 24(4):744–763CrossRef Weron R, Misiorek A (2008) Forecasting spot electricity prices: a comparison of parametric and semiparametric time series models. Int J Forecast 24(4):744–763CrossRef
24.
Zurück zum Zitat Fan S, Mao C, Chen L (2007) Next-day electricity-price forecasting using a hybrid network. IET Gener Transm Distrib 1(1):176–182CrossRef Fan S, Mao C, Chen L (2007) Next-day electricity-price forecasting using a hybrid network. IET Gener Transm Distrib 1(1):176–182CrossRef
25.
Zurück zum Zitat Rodriguez CP, Anders GJ (2004) Energy price forecasting in the Ontario competitive power system market. IEEE Trans Power Syst 19(1):366–374CrossRef Rodriguez CP, Anders GJ (2004) Energy price forecasting in the Ontario competitive power system market. IEEE Trans Power Syst 19(1):366–374CrossRef
26.
Zurück zum Zitat Aggarwal S, Saini L, Kumar A (2009) Day-ahead price forecasting in Ontario electricity market using variable-segmented support vector machine-based model. Electr Power Compon Syst 37(5):495–516CrossRef Aggarwal S, Saini L, Kumar A (2009) Day-ahead price forecasting in Ontario electricity market using variable-segmented support vector machine-based model. Electr Power Compon Syst 37(5):495–516CrossRef
27.
Zurück zum Zitat Saini L, Aggarwal S, Kumar A (2010) Parameter optimisation using genetic algorithm for support vector machine-based price-forecasting model in national electricity market. IET Gener Transm Distrib 4(1):36–49CrossRef Saini L, Aggarwal S, Kumar A (2010) Parameter optimisation using genetic algorithm for support vector machine-based price-forecasting model in national electricity market. IET Gener Transm Distrib 4(1):36–49CrossRef
28.
Zurück zum Zitat Taylor J, McSharry P (2007) Short-term load forecasting methods: an evaluation based on European data. IEEE Trans Power Syst 22(4):2213–2219CrossRef Taylor J, McSharry P (2007) Short-term load forecasting methods: an evaluation based on European data. IEEE Trans Power Syst 22(4):2213–2219CrossRef
29.
Zurück zum Zitat Ipakchi A, Albuyeh F (2009) Grid of the future. IEEE Power Energ Mag 7(2):52–62CrossRef Ipakchi A, Albuyeh F (2009) Grid of the future. IEEE Power Energ Mag 7(2):52–62CrossRef
30.
Zurück zum Zitat Zhang L, Luh P (2005) Neural network-based market clearing price prediction and confidence interval estimation with an improved extended Kalman filter method. IEEE Trans Power Syst 20(1):59–66CrossRef Zhang L, Luh P (2005) Neural network-based market clearing price prediction and confidence interval estimation with an improved extended Kalman filter method. IEEE Trans Power Syst 20(1):59–66CrossRef
31.
Zurück zum Zitat Zhao JH, Dong ZY, Xu Z, Wong KP (2008) A statistical approach for interval forecasting of the electricity price. IEEE Trans Power Syst 23(2):267–276CrossRef Zhao JH, Dong ZY, Xu Z, Wong KP (2008) A statistical approach for interval forecasting of the electricity price. IEEE Trans Power Syst 23(2):267–276CrossRef
32.
Zurück zum Zitat Boogert A, Dupont D (2008) When supply meets demand: the case of hourly spot electricity prices. IEEE Trans Power Syst 23(2):389–398CrossRef Boogert A, Dupont D (2008) When supply meets demand: the case of hourly spot electricity prices. IEEE Trans Power Syst 23(2):389–398CrossRef
33.
Zurück zum Zitat Zareipour H, Janjani A, Leung H, Motamedi A, Schellenberg A (2011) Classification of future electricity market prices. IEEE Transactions on Power System 26(1):165–173CrossRef Zareipour H, Janjani A, Leung H, Motamedi A, Schellenberg A (2011) Classification of future electricity market prices. IEEE Transactions on Power System 26(1):165–173CrossRef
34.
Zurück zum Zitat Conejo AJ, Plazas MA, Espinola R, Molina AB (2005) Day-ahead electricity price forecasting using the wavelet transform and ARIMA models. IEEE Trans Power Syst 20(2):1035–1042CrossRef Conejo AJ, Plazas MA, Espinola R, Molina AB (2005) Day-ahead electricity price forecasting using the wavelet transform and ARIMA models. IEEE Trans Power Syst 20(2):1035–1042CrossRef
35.
Zurück zum Zitat Han J, Kamber M (2006) Data mining: concepts and techniques, The Morgan Kaufmann series in data management systems. Morgan Kaufmann, AmsterdamMATH Han J, Kamber M (2006) Data mining: concepts and techniques, The Morgan Kaufmann series in data management systems. Morgan Kaufmann, AmsterdamMATH
36.
Zurück zum Zitat Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques. Morgan Kaufmann, AmsterdamMATH Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques. Morgan Kaufmann, AmsterdamMATH
37.
Zurück zum Zitat Saeys Y, Inza I, Larranaga P (2007) A review of feature selection techniques in bioinformatics. Bioinformatics 23(19):2507–2517CrossRef Saeys Y, Inza I, Larranaga P (2007) A review of feature selection techniques in bioinformatics. Bioinformatics 23(19):2507–2517CrossRef
38.
Zurück zum Zitat Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157–1182MATH Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157–1182MATH
39.
Zurück zum Zitat Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1(3):131–156CrossRef Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1(3):131–156CrossRef
40.
Zurück zum Zitat Li G, Liu CC, Mattson C, Lawarree J (2007) Day-ahead electricity price forecasting in a grid environment. IEEE Trans Power Syst 22(1):266–274CrossRef Li G, Liu CC, Mattson C, Lawarree J (2007) Day-ahead electricity price forecasting in a grid environment. IEEE Trans Power Syst 22(1):266–274CrossRef
41.
Zurück zum Zitat Contreras J, Espinola R, Nogales F, Conejo A (2003) ARIMA models to predict next-day electricity prices. IEEE Trans Power Syst 18(3):1014–1020CrossRef Contreras J, Espinola R, Nogales F, Conejo A (2003) ARIMA models to predict next-day electricity prices. IEEE Trans Power Syst 18(3):1014–1020CrossRef
42.
Zurück zum Zitat Pindoriya N, Singh S, Singh S (2008) An adaptive wavelet neural network-based energy price forecasting in electricity markets. IEEE Trans Power Syst 23(3):1423–1432CrossRef Pindoriya N, Singh S, Singh S (2008) An adaptive wavelet neural network-based energy price forecasting in electricity markets. IEEE Trans Power Syst 23(3):1423–1432CrossRef
43.
Zurück zum Zitat Zareipour H, Bhattacharya K, Canizares C(2006) Forecasting the hourly Ontario energy price by multivariate adaptive regression splines. In: Proceedings of the IEEE PES Annual General Meeting, San Francisco, 2006, p 7 Zareipour H, Bhattacharya K, Canizares C(2006) Forecasting the hourly Ontario energy price by multivariate adaptive regression splines. In: Proceedings of the IEEE PES Annual General Meeting, San Francisco, 2006, p 7
44.
Zurück zum Zitat Conejo AJ, Contreras J, Esanola R, Plazas MA (2005) Forecasting electricity prices for a day-ahead pool-based electric energy market. Int J Forecast 21(3):435–462CrossRef Conejo AJ, Contreras J, Esanola R, Plazas MA (2005) Forecasting electricity prices for a day-ahead pool-based electric energy market. Int J Forecast 21(3):435–462CrossRef
45.
Zurück zum Zitat Zareipour H, Canizares C, Bhattacharya K (2010) Economic impact of electricity market price forecasting errors: a demand-side analysis. IEEE Trans Power Syst 25(1):254–262CrossRef Zareipour H, Canizares C, Bhattacharya K (2010) Economic impact of electricity market price forecasting errors: a demand-side analysis. IEEE Trans Power Syst 25(1):254–262CrossRef
46.
Zurück zum Zitat Pankratz A (1991) Forecasting with dynamic regression models. Wiley, New YorkCrossRef Pankratz A (1991) Forecasting with dynamic regression models. Wiley, New YorkCrossRef
Metadaten
Titel
Short-Term Electricity Market Prices: A Review of Characteristics and Forecasting Methods
verfasst von
Hamid Zareipour
Copyright-Jahr
2012
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-23193-3_4