[1]. 
YucekayaA. Electric Power Bidding Models for Competitive Markets (Doctoral dissertation), 2008.

[2]. 
SinghS.N. Electric power generation: transmission and distribution. PHI Learning Pvt. Ltd., 2008.

[3]. 
LiG. Electricity price forecasting in grid environment (Doctoral dissertation), 2007.

[4]. 
AnbazhaganS. and KumarappanN. Dayahead price forecasting in Asia's first liberalized electricity market using artificial neural networks. International Journal of Computational Intelligence Systems, 4(4), pp.476485, 2011.

[5]. 
CatalãoJ.P.D. M. M. S., Mariano, S.J.P.S., Mendes, V.M.F. and Ferreira, L.A.F. Shortterm electricity prices forecasting in a competitive market: A neural network approach. Electric Power Systems Research, 77(10), pp. 12971304, 2007.

[6]. 
VahidinasabV., JadidS. and KazemiA. Dayahead price forecasting in restructured power systems using artificial neural networks. Electric Power Systems Research, 78(8), pp. 13321342, 2008.

[7]. 
SinghalD. and SwarupK.S. Electricity price forecasting using artificial neural networks. International Journal of Electrical Power & Energy Systems, 33(3), pp.550555, 2011.

[8]. 
LinW. M., Gow, H.J. and Tsai, M.T. An enhanced radial basis function network for shortterm electricity price forecasting. Applied Energy, 87(10), pp.32263234, 2010.

[9]. 
AnbazhaganS. and KumarappanN. Dayahead deregulated electricity market price forecasting using recurrent neural network. IEEE Systems Journal, 7(4), pp.866872, 2012.

[10]. 
PanapakidisI.P.and DagoumasA.S. Dayahead electricity price forecasting via the application of artificial neural network based models. Applied Energy, 172, pp.132151, 2016.

[11]. 
YanX. and ChowdhuryN.A. Midterm electricity market clearing price forecasting: A multiple SVM approach. International Journal of Electrical Power & Energy Systems, 58, pp.206214, 2014.

[12]. 
HungY. C., Lin, F.J., Hwang, J.C., Chang, J.K.and Ruan, K.C. Wavelet fuzzy neural network with asymmetric membership function controller for electric power steering system via improved differential evolution. IEEE Transactions on Power Electronics, 30(4), pp.23502362, 2014.

[13]. 
AnbazhaganS. and KumarappanN. Dayahead deregulated electricity market price forecasting using neural network input featured by DCT. Energy conversion and management, 78, pp.711719, 2014.

[14]. 
LoraA.T., SantosJ.M.R., ExpósitoA.G., RamosJ.L.M. and SantosJ.C.R. Electricity market price forecasting based on weighted nearest neighbors techniques. IEEE Transactions on Power Systems, 22(3), pp. 12941301, 2007.

[15]. 
AmjadyN. Dayahead price forecasting of electricity markets by a new fuzzy neural network. IEEE Transactions on power systems, 21(2), pp.887896, 2006.

[16]. 
AmjadyN. and DaraeepourA. Design of input vector for dayahead price forecasting of electricity markets. Expert Systems with Applications, 36(10), pp.1228112294, 2009.

[17]. 
ConejoA.J., PlazasM.A., EspinolaR. and MolinaA.B. Dayahead electricity price forecasting using the wavelet transform and ARIMA models. IEEE transactions on power systems, 20(2), pp. 10351042, 2005.

[18]. 
LiG., LiuC.C., MattsonC. and LawarréeJ. Dayahead electricity price forecasting in a grid environment. IEEE Transactions on power systems, 22(1), pp.266274, 2007.

[19]. 
PeterS.E.and RaglendI.J. Sequential waveletANN with embedded ANNPSO hybrid electricity price forecasting model for Indian energy exchange. Neural Computing and Applications, 28(8), pp.22772292, 2017.

[20]. 
Spanish electricity market website. Available at: https://www.omie.es/en [Accessed February 2021].

[21]. 
BastianJ., ZhuJ., BanunarayananV. and MukerjiR. Forecasting energy prices in a competitive market. IEEE computer applications in power, 12(3), pp.4045, 1999.

[22]. 
NogalesF.J., ContrerasJ., ConejoA.J.and EspínolaR. Forecasting nextday electricity prices by time series models. IEEE Transactions on power systems, 17(2), pp.342348, 2002.

[23]. 
ContrerasJ., EspinolaR., NogalesF.J.and ConejoA.J. ARIMA models to predict nextday electricity prices. IEEE transactions on power systems, 18(3), pp. 10141020, 2003.

[24]. 
SavithaR., SureshS., SundararajanN. and SaratchandranP. A new learning algorithm with logarithmic performance index for complexvalued neural networks. Neurocomputing, 72(1618), pp.37713781, 2009.
