Electricity price forecasting through transfer function models

Citations

Cited by:

1. Prilly Oktoviany & Robert Knobloch & Ralf Korn, 2021. "A machine learning-based price state prediction model for agricultural commodities using external factors," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1063-1085, December.
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4. Weron, Rafal & Misiorek, Adam, 2008. "Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models," International Journal of Forecasting, Elsevier, vol. 24(4), pages 744-763.
   • Weron, Rafal & Misiorek, Adam, 2008. "Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models," MPRA Paper 10428, University Library of Munich, Germany.
5. Alonso Fernández, Andrés Modesto & García-Martos, Carolina & Rodríguez, Julio & Sánchez, María Jesús, 2008. "Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting," DES - Working Papers. Statistics and Econometrics. WS ws081406, Universidad Carlos III de Madrid. Departamento de Estadística.
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7. Yang, Liu & Dong, Ciwei & Wan, C.L. Johnny & Ng, Chi To, 2013. "Electricity time-of-use tariff with consumer behavior consideration," International Journal of Production Economics, Elsevier, vol. 146(2), pages 402-410.
8. Marra, Giampiero & Radice, Rosalba, 2017. "Bivariate copula additive models for location, scale and shape," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 99-113.
9. Xiaojia Guo & Alexandros Beskos & Afzal Siddiqui, 2016. "The natural hedge of a gas-fired power plant," Computational Management Science, Springer, vol. 13(1), pages 63-86, January.
10. Tan, Zhongfu & Zhang, Jinliang & Wang, Jianhui & Xu, Jun, 2010. "Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models," Applied Energy, Elsevier, vol. 87(11), pages 3606-3610, November.
11. Alvarez-Ramirez, Jose & Escarela-Perez, Rafael, 2010. "Time-dependent correlations in electricity markets," Energy Economics, Elsevier, vol. 32(2), pages 269-277, March.
12. Amjady, Nima & Keynia, Farshid, 2010. "A new spinning reserve requirement forecast method for deregulated electricity markets," Applied Energy, Elsevier, vol. 87(6), pages 1870-1879, June.
13. Faber, Isaac & Lane, William & Pak, Wayne & Prakel, Mary & Rocha, Cheyne & Farr, John V., 2014. "Micro-energy markets: The role of a consumer preference pricing strategy on microgrid energy investment," Energy, Elsevier, vol. 74(C), pages 567-575.
14. Mauro Bernardi & Francesco Lisi, 2020. "Point and Interval Forecasting of Zonal Electricity Prices and Demand Using Heteroscedastic Models: The IPEX Case," Energies, MDPI, vol. 13(23), pages 1-34, November.
15. Pineda, S. & Conejo, A.J. & Carrión, M., 2010. "Insuring unit failures in electricity markets," Energy Economics, Elsevier, vol. 32(6), pages 1268-1276, November.
16. Xiaojia Guo & Alexandros Beskos & Afzal Siddiqui, 2016. "The natural hedge of a gas-fired power plant," Computational Management Science, Springer, vol. 13(1), pages 63-86, January.
17. Jakub Nowotarski & Rafał Weron, 2015. "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," Computational Statistics, Springer, vol. 30(3), pages 791-803, September.
    • Jakub Nowotarski & Rafal Weron, 2013. "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," HSC Research Reports HSC/13/12, Hugo Steinhaus Center, Wroclaw University of Technology.
18. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    • Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
19. Sahraei-Ardakani, Mostafa & Blumsack, Seth & Kleit, Andrew, 2015. "Estimating zonal electricity supply curves in transmission-constrained electricity markets," Energy, Elsevier, vol. 80(C), pages 10-19.
20. Ruiz, C. & Conejo, A.J., 2015. "Robust transmission expansion planning," European Journal of Operational Research, Elsevier, vol. 242(2), pages 390-401.
21. Chen, Yenming J. & Sheu, Jiuh-Biing & Lirn, Taih-Cherng, 2012. "Fault tolerance modeling for an e-waste recycling supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 897-906.
22. Francisco Martínez-Álvarez & Alicia Troncoso & Gualberto Asencio-Cortés & José C. Riquelme, 2015. "A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting," Energies, MDPI, vol. 8(11), pages 1-32, November.
23. Ostadi, Bakhtiar & Motamedi Sedeh, Omid & Husseinzadeh Kashan, Ali, 2020. "Risk-based optimal bidding patterns in the deregulated power market using extended Markowitz model," Energy, Elsevier, vol. 191(C).
24. Jónsson, Tryggvi & Pinson, Pierre & Madsen, Henrik, 2010. "On the market impact of wind energy forecasts," Energy Economics, Elsevier, vol. 32(2), pages 313-320, March.
25. Alvarez-Ramirez, J. & Escarela-Perez, R. & Espinosa-Perez, G. & Urrea, R., 2009. "Dynamics of electricity market correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2173-2188.
26. Roman Rodriguez-Aguilar & Jose Antonio Marmolejo-Saucedo & Brenda Retana-Blanco, 2019. "Prices of Mexican Wholesale Electricity Market: An Application of Alpha-Stable Regression," Sustainability, MDPI, vol. 11(11), pages 1-14, June.
27. Ciarreta, Aitor & Martinez, Blanca & Nasirov, Shahriyar, 2023. "Forecasting electricity prices using bid data," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1253-1271.