Performance of Electricity Price Forecasting Models: Evidence from Turkey

References

• Aggarwal, S. K., L. M. Saini, and A. Kumar. 2009. Electricity price forecasting in deregulated markets: A review and evaluation. International Journal of Electrical Power & Energy Systems 31 (1):13–22. doi:10.1016/j.ijepes.2008.09.003.
   Web of Science ®Google Scholar
• Avci-Surucu, E., A. K. Aydogan, and D. Akgul. 2016. Bidding structure, market efficiency and persistence in a multi-time tariff setting. Energy Economics 54:77–87. doi:10.1016/j.eneco.2015.10.017.
   Web of Science ®Google Scholar
• Bordignon, S., D. W. Bunn, F. Lisi, and F. Nan. 2013. Combining day-ahead forecasts for British electricity prices. Energy Economics 35:88–103. doi:10.1016/j.eneco.2011.12.001.
   Web of Science ®Google Scholar
• Box, G. E. P., and G. M. Jenkins. 1976. Time series analysis: Forecasting and control. San Francisco, CA: Holdan-Day.
   Google Scholar
• Bublitz, A., D. Keles, and F. Fichtner. 2017. An analysis of the decline of electricity spot prices in Europe: Who is to blame? Energy Policy 107:323–36. doi:10.1016/j.enpol.2017.04.034.
   Web of Science ®Google Scholar
• Bunn, D. W. 2004. Modelling prices in competitive electricity markets. England: John Wiley&Sons.
   Google Scholar
• Cancelo, J. R., A. Espasa, and R. Grafe. 2008. Forecasting the electricity load from one day to one week ahead for the Spanish system operator. International Journal of Forecasting 24 (4):588–602. doi:10.1016/j.ijforecast.2008.07.005.
   Web of Science ®Google Scholar
• Cartea, Á., and M. G. Figueroa. 2005. Pricing in electricity markets: A mean reverting jump diffusion model with seasonality. Applied Mathematical Finance 12 (4):313–35. doi:10.1080/13504860500117503.
   Google Scholar
• Conejo, A. J., J. Contreras, R. Espínola, and M. A. Plazas. 2005. Forecasting electricity prices for a day-ahead pool-based electric energy market. International Journal of Forecasting 21 (3):435–62. doi:10.1016/j.ijforecast.2004.12.005.
   Web of Science ®Google Scholar
• Contreras, J., R. Espinola, F. J. Nogales, and A. J. Conejo. 2003. ARIMA models to predict next-day electricity prices. Power Systems, IEEE Transactions On 18 (3):1014–20. doi:10.1109/TPWRS.2002.804943.
   Web of Science ®Google Scholar
• Cuaresma, J. C., J. Hlouskova, S. Kossmeier, and M. Obersteiner. 2004. Forecasting electricity spot-prices using linear univariate time-series models. Applied Energy 77 (1):87–106. doi:10.1016/S0306-2619(03)00096-5.
   Web of Science ®Google Scholar
• de Livera, A. M., R. J. Hyndman, and R. D. Snyder. 2011. Forecasting time series with complex seasonal patterns using exponential smoothing. Journal of the American Statistical Association 106 (496):1513–27. doi:10.1198/jasa.2011.tm09771.
   Web of Science ®Google Scholar
• Díaz, G., and E. Planas. 2016. A note on the normalization of Spanish electricity spot prices. IEEE Transactions on Power Systems 31 (3):2499–500. doi:10.1109/TPWRS.2015.2449757.
   Web of Science ®Google Scholar
• Diebold, F. X., and R. S. Mariano. 1995. Comparing predictive accuracy. Journal of Business and Economic Statistics 13:253–63.
   Web of Science ®Google Scholar
• EMRA (Republic of Turkey Energy Market Regulatory). 2017. Electricity Market Balancing and Settlement Regulation. Official Gazette No. 27200, Turkey.
   Google Scholar
• Energy Exchange Istanbul. 2016 Annual Report 01 January 2016 – 31 December 2016, Citation2016.
   Google Scholar
• Fanone, E., A. Gamba, and M. Prokopczuk. 2013. The case of negative day-ahead electricity prices. Energy Economics 35:22–34.
   Web of Science ®Google Scholar
• González, A. M., A. S. Roque, and J. García-González. 2005. Modeling and forecasting electricity prices with input/output hidden Markov models. IEEE Transactions on Power Systems 20 (1):13–24. doi:10.1109/TPWRS.2004.840412.
   Web of Science ®Google Scholar
• Gould, P. G., A. B. Koehler, J. K. Ord, R. D. Snyder, R. J. Hyndman, and F. Vahid-Araghi. 2008. Forecasting time series with multiple seasonal patterns. European Journal of Operational Research 191 (1):207–22. doi:10.1016/j.ejor.2007.08.024.
   Web of Science ®Google Scholar
• Hamilton, J. D. 1994. Time series analysis. Vol.2. Princeton, NJ: Princeton University Press.
   Google Scholar
• Hayfavi, A., and I. Talasli. 2014. Stochastic multifactor modeling of spot electricity prices. Journal of Computational and Applied Mathematics 259 (10):434–42. doi:10.1016/j.cam.2013.10.008.
   Google Scholar
• Howell, D. C. 2013. Statictical methods for psychology, 8th ed. Belmont, CA: Wadsworth/Cengage Learning.
   Google Scholar
• Janczura, J., and R. Weron. 2010. An empirical comparison of alternate regime-switching models for electricity spot prices. Energy Economics 32 (5):1059–73. doi:10.1016/j.eneco.2010.05.008.
   Web of Science ®Google Scholar
• Karakatsani, N. V., and D. W. Bunn. 2008. Forecasting electricity prices: The impact of fundamentals and time-varying coefficients. International Journal of Forecasting 24 (4):764–85. doi:10.1016/j.ijforecast.2008.09.008.
   Web of Science ®Google Scholar
• Keles, D., M. Genoese, D. Möst, and W. Fichtner. 2012. Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices. Energy Economics 34 (4):1012–32. doi:10.1016/j.eneco.2011.08.012.
   Web of Science ®Google Scholar
• Keles, D., J. Scelle, F. Paraschiv, and W. Fichtner. 2016. Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks. Applied Energy 162:218–30. doi:10.1016/j.apenergy.2015.09.087
   Web of Science ®Google Scholar
• Kolmek, M. A., and I. Navruz. 2015. Forecasting the day-ahead price in electricity balancing and settlement market of Turkey by using artificial neural networks. Turkish Journal of Electrical Engineering & Computer Sciences 23 (3):841–52. doi:10.3906/elk-1212-136.
   Web of Science ®Google Scholar
• Mandal, P., T. Senjyu, K. Uezato, and T. Funabashi. 2005. Several-hours-ahead electricity price and load forecasting using neural networks. In Power Engineering Society General Meeting, 2146–53. Piscataway, NJ: IEEE. doi:10.1109/PES.2005.1489530
   Google Scholar
• Negahdary, E., and T. Ware. 2016. Modeling alberta power prices through fundamentals. Journal of Energy Markets 9 (4):49–70. doi:10.21314/JEM.2016.155.
   Web of Science ®Google Scholar
• Nogales, F. J., J. Contreras, A. J. Conejo, and R. Espínola. 2002. Forecasting next-day electricity prices by time series models. IEEE Transactions on Power Systems 17 (2):342–48. doi:10.1109/TPWRS.2002.1007902.
   Web of Science ®Google Scholar
• Nowotarski, J., E. Raviv, S. Trück, and R. Weron. 2014. An empirical comparison of alternative schemes for combining electricity spot price forecasts. Energy Economics 46:395–412. doi:10.1016/j.eneco.2014.07.014.
   Web of Science ®Google Scholar
• Özkan, H., and M. E. Yazgan. 2015. Is forecasting inflation easier under inflation targeting? Empirical Economics 48 (2):609–26. doi:10.1007/s00181-013-0793-3.
   Web of Science ®Google Scholar
• Ozozen, A., G. Kayakutlu, M. Ketterer, and O. Kayalica. “A combined seasonal ARIMA and ANN model for improved results in electricity spot price forecasting: Case study in Turkey.” In Management of Engineering and Technology (PICMET), 2016 Portland International Conference, 2016: 2681–90, IEEE.
   Google Scholar
• Ozyildirim, C., and M. F. Beyazit. 2014. Forecasting and modelling of electricity prices by radial basis functions: Turkish electricity market experiment. Iktisat Işletme Ve Finans 29 (344):31–54. doi:10.3848/iif.2014.344.4256.
   Google Scholar
• Shafie-Khah, M., M. P. Moghaddam, and M. K. Sheikh-El-Eslami. 2011. Price forecasting of day-ahead electricity markets using a hybrid forecast method. Energy Conversion and Management 52 (5):2165–69. doi:10.1016/j.enconman.2010.10.047.
   Web of Science ®Google Scholar
• Sunaryo, S., S. Suhartono, and J. E. Alfonsus. 2011. Double seasonal recurrent neural networks for forecasting short term electricity load demand in Indonesia. In Recurrent neural networks for temporal data processing, ed. H. Cardot. InTech.
   Google Scholar
• Talasli, I. Stochastic Modeling of Electricity Market. Doctoral Dissertation Thesis. Middle East Technical University, 2012.
   Google Scholar
• Taylor, J. W. 2010. Triple seasonal methods for short-term electricity demand forecasting. European Journal of Operational Research 204 (1):139–52. doi:10.1016/j.ejor.2009.10.003.
   Web of Science ®Google Scholar
• Taysi, Z. C., G. Biricik, and O. Bozkurt. “Evaluation of price forecast systems for Turkish Electric Market.” In Signal Processing and Communications Applications Conference (SIU), 2015: 620–23. 23th IEEE.
   Google Scholar
• Tsay, R. S. 2005. Analysis of financial time series, Vol. 543. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Uniejewski, B., J. Nowotarski, and R. Weron. 2016. Automated variable selection and shrinkage for day-ahead electricity price forecasting. Energies 9 (8):621. doi:10.3390/en9080621.
   Web of Science ®Google Scholar
• Uniejewski, B., R. Weron, and F. Ziel. 2017. Variance stabilizing transformations for electricity spot price forecasting. IEEE Transactions on Power Systems 1–1. doi:10.1109/TPWRS.2017.2734563.
   Web of Science ®Google Scholar
• Weron, R. 2006. Modeling and forecasting electricity loads and prices: A statistical approach, Vol. 403. Chichester, UK: John Wiley & Sons.
   Google Scholar
• Weron, R. 2014. Electricity price forecasting: A review of the state-of-the-art with a look into the future. International Journal of Forecasting 30 (4):1030–81. doi:10.1016/j.ijforecast.2014.08.008.
   Web of Science ®Google Scholar
• Weron, R., and A. Misiorek. 2008. Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models. International Journal of Forecasting 24 (4):744–63. doi:10.1016/j.ijforecast.2008.08.004.
   Web of Science ®Google Scholar
• Ziel, F., and R. Steinert. 2016. Electricity price forecasting using sale and purchase curves: The X-Model. Energy Economics 59:435–54. doi:10.1016/j.eneco.2016.08.008.
   Web of Science ®Google Scholar
• Ziel, F., R. Steinert, and S. Husmann. 2015. Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets. Energy Economics 51:430–44. doi:10.1016/j.eneco.2015.08.005.
   Web of Science ®Google Scholar
• Ziel, F., and R. Weron. 2016. Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate models (No. HSC/16/08). Hugo Steinhaus Center, Wroclaw University of Technology.
   Google Scholar