A look into the future of electricity (spot) price forecasting
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[1] James Crotty,et al. A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression , 1967 .
[2] J. M. Bates,et al. The Combination of Forecasts , 1969 .
[3] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[4] C. Granger,et al. Experience with Forecasting Univariate Time Series and the Combination of Forecasts , 1974 .
[5] George E. P. Box,et al. Time Series Analysis: Forecasting and Control , 1977 .
[6] Michael P. Clements,et al. FORECASTING ECONOMIC TIME SERIES , 2000, Econometric Theory.
[7] Oldrich A. Vasicek. An equilibrium characterization of the term structure , 1977 .
[8] Steven C. Wheelwright,et al. Forecasting methods and applications. , 1979 .
[9] H. Tong,et al. Threshold Autoregression, Limit Cycles and Cyclical Data , 1980 .
[10] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[11] W. Torous,et al. A Simplified Jump Process for Common Stock Returns , 1983, Journal of Financial and Quantitative Analysis.
[12] Allen J. Wood,et al. Power Generation, Operation, and Control , 1984 .
[13] C. Granger,et al. Improved methods of combining forecasts , 1984 .
[14] Everette S. Gardner,et al. Exponential smoothing: The state of the art , 1985 .
[15] Derek W. Bunn. Forecasting electric loads with multiple predictors , 1985 .
[16] S. Ross,et al. A theory of the term structure of interest rates'', Econometrica 53, 385-407 , 1985 .
[17] D. Bunn,et al. Statistical efficiency in the linear combination of forecasts , 1985 .
[18] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[19] F. Diebold,et al. Structural change and the combination of forecasts , 1986 .
[20] C. Chatfield,et al. Comparative Models for Electrical Load Forecasting. , 1986 .
[21] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[22] D. Smith,et al. Combination of forecasts in electricity demand prediction , 1989 .
[23] James D. Hamilton. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .
[24] R. Clemen. Combining forecasts: A review and annotated bibliography , 1989 .
[25] James D. Hamilton. Analysis of time series subject to changes in regime , 1990 .
[26] H. Tong. Non-linear time series. A dynamical system approach , 1990 .
[27] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[28] Giovanni Soda,et al. Local Feedback Multilayered Networks , 1992, Neural Computation.
[29] Sevket I. Gunter,et al. An empirical analysis of the accuracy of SA, OLS, ERLS and NRLS combination forecasts , 1992 .
[30] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[31] J. D. McDonald,et al. A real-time implementation of short-term load forecasting for distribution power systems , 1994 .
[32] Chang‐Jin Kim,et al. Dynamic linear models with Markov-switching , 1994 .
[33] D. Madigan,et al. Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window , 1994 .
[34] James D. Hamilton. Time Series Analysis , 1994 .
[35] Vladimir Vapnik,et al. The Nature of Statistical Learning , 1995 .
[36] Hong-Tzer Yang,et al. Identification of ARMAX model for short term load forecasting: an evolutionary programming approach , 1995 .
[37] Richard A. Davis,et al. Introduction to time series and forecasting , 1998 .
[38] Anil K. Jain,et al. Artificial Neural Networks: A Tutorial , 1996, Computer.
[39] Kamil Feridun Turkman. Non-linear time series models , 1996 .
[40] Peter Tiño,et al. Learning long-term dependencies in NARX recurrent neural networks , 1996, IEEE Trans. Neural Networks.
[41] Steven C. Wheelwright,et al. Forecasting: Methods and Applications, 3rd Ed , 1997 .
[42] E. Laitinen,et al. Electricity spot price forecasting as a part of energy management in de-regulated power market , 1998, Proceedings of EMPD '98. 1998 International Conference on Energy Management and Power Delivery (Cat. No.98EX137).
[43] Randy Goebel,et al. Computational intelligence - a logical approach , 1998 .
[44] P. Newbold,et al. Tests for Forecast Encompassing , 1998 .
[45] Anthony S. Tay,et al. Evaluating Density Forecasts with Applications to Financial Risk Management , 1998 .
[46] Peter F. Christoffersen. Evaluating Interval Forecasts , 1998 .
[47] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[48] B. Ramsay,et al. A neural network based estimator for electricity spot-pricing with particular reference to weekend and public holidays , 1998, Neurocomputing.
[49] James Bushnell,et al. Market Power in Electricity Markets: Beyond Concentration Measures , 1999 .
[50] S. Satchell,et al. Why do regime‐switching models forecast so badly? , 1999 .
[51] T. Dillon,et al. Electricity price short-term forecasting using artificial neural networks , 1999 .
[52] Sushmita Mitra,et al. Neuro-fuzzy rule generation: survey in soft computing framework , 2000, IEEE Trans. Neural Networks Learn. Syst..
[53] Derek W. Bunn,et al. Model-Based Comparisons of Pool and Bilateral Markets for Electricity , 2000 .
[54] K. Nikolopoulos,et al. The theta model: a decomposition approach to forecasting , 2000 .
[55] Kenneth F. Wallis,et al. Density Forecasting: A Survey , 2000 .
[56] D.W. Bunn,et al. Forecasting loads and prices in competitive power markets , 2000, Proceedings of the IEEE.
[57] James W. Taylor,et al. Using combined forecasts with changing weights for electricity demand profiling , 2000, J. Oper. Res. Soc..
[58] David S. Stoffer,et al. Time series analysis and its applications , 2000 .
[59] Terry Robinson. Electricity pool prices: a case study in nonlinear time-series modelling , 2000 .
[60] L. Clewlow,et al. Energy Derivatives: Pricing and Risk Management , 2000 .
[61] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[62] Derek W. Bunn,et al. Review of guidelines for the use of combined forecasts , 2000, Eur. J. Oper. Res..
[63] J. Bai,et al. Determining the Number of Factors in Approximate Factor Models , 2000 .
[64] Spyros Makridakis,et al. The M3-Competition: results, conclusions and implications , 2000 .
[65] J. Pang,et al. Strategic gaming analysis for electric power systems: an MPEC approach , 2000 .
[66] J. Nazuno. Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .
[67] F. Wolak. Market Design and Price Behavior in Restructured Electricity Markets: An International Comparison , 2000 .
[68] Jeremy Berkowitz. Testing Density Forecasts, With Applications to Risk Management , 2001 .
[69] Kenneth F. Wallis,et al. Chi-Squared Tests of Interval and Density Forecasts, and the Bank of England's Fan Charts , 2001, SSRN Electronic Journal.
[70] K. Singleton. Estimation of affine asset pricing models using the empirical characteristic function , 2001 .
[71] T. Johnsen,et al. Demand, generation and price in the Norwegian market for electric power , 2001 .
[72] Siem Jan Koopman,et al. Time Series Analysis by State Space Methods , 2001 .
[73] Maxwell Stevenson,et al. Filtering and Forecasting Spot Electricity Prices in the Increasingly Deregulated Australian Electricity Market , 2001 .
[74] D. Bunn,et al. Divestiture of Generation Assets in the Electricity Pool of England and Wales: A Computational Approach to Analyzing Market Power , 2001 .
[75] Marija D. Ilic,et al. Valuation, Hedging and Speculation in Competitive Electricity Markets: A Fundamental Approach , 2001 .
[76] Friedel Bolle,et al. Competition with supply and demand functions , 2001 .
[77] J. Contreras,et al. ARIMA models to predict next-day electricity prices , 2002 .
[78] F. Longstaff,et al. Electricity Forward Prices: A High-Frequency Empirical Analysis , 2002 .
[79] In-Keun Yu,et al. Prediction of system marginal price of electricity using wavelet transform analysis , 2002 .
[80] A. Eydeland. Energy and Power Risk Management , 2002 .
[81] J. Stock,et al. Forecasting Using Principal Components From a Large Number of Predictors , 2002 .
[82] J. Pang,et al. Oligopolistic Competition in Power Networks: A Conjectured Supply Function Approach , 2002, IEEE Power Engineering Review.
[83] P. Luh,et al. Energy clearing price prediction and confidence interval estimation with cascaded neural networks , 2002 .
[84] Y.-y. Hong,et al. Locational marginal price forecasting in deregulated electricity markets using artificial intelligence , 2002 .
[85] Zuyi Li,et al. Market Operations in Electric Power Systems : Forecasting, Scheduling, and Risk Management , 2002 .
[86] Tom Downs,et al. Evaluation of support vector machine based forecasting tool in electricity price forecasting for Australian national electricity market participants , 2002 .
[87] M. Barlow. A DIFFUSION MODEL FOR ELECTRICITY PRICES , 2002 .
[88] C. L. Anderson,et al. Development of a Hybrid Model for Electrical Power Spot Prices , 2002, IEEE Power Engineering Review.
[89] J. Contreras,et al. Forecasting next-day electricity prices by time series models , 2002 .
[90] R. Huisman,et al. Option Formulas for Mean-Reverting Power Prices with Spikes , 2002 .
[91] Andres Ramos,et al. FITTING ELECTRICITY MARKET MODELS. A CONJECTURAL VARIATIONS APPROACH , 2002 .
[92] Hongming Yang,et al. Chaotic characteristics of electricity price and its forecasting model , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).
[93] J. Bai,et al. Inferential Theory for Factor Models of Large Dimensions , 2003 .
[94] Stein-Erik Fleten,et al. Constructing forward price curves in electricity markets , 2003 .
[95] Rob J Hyndman,et al. Unmasking the Theta Method , 2003 .
[96] P. Luh,et al. Selecting input factors for clusters of Gaussian radial basis function networks to improve market clearing price prediction , 2003 .
[97] R. Weron,et al. Modelling Electricity Prices: Jump Diffusion and Regime Switching , 2004 .
[98] Bhojnarine R. Rambharat,et al. A threshold autoregressive model for wholesale electricity prices , 2003 .
[99] R. Cont,et al. Financial Modelling with Jump Processes , 2003 .
[100] Ángeles Saavedra,et al. Nonparametric maximum likelihood estimators for ar and ma time series , 2003 .
[101] Hui Zou,et al. Combining time series models for forecasting , 2004, International Journal of Forecasting.
[102] Takashi Kanamura,et al. A Structural Model for Electricity Prices with Spikes - Measurement of Jump Risk and Optimal Policies for Hydropower Plant Operation , 2004 .
[103] V.S. Koritarov. Real-world market representation with agents , 2004, IEEE Power and Energy Magazine.
[104] Ingve Simonsen,et al. Modeling highly volatile and seasonal markets: evidence from the Nord Pool electricity market , 2004 .
[105] R. Baldick,et al. Theory and Application of Linear Supply Function Equilibrium in Electricity Markets , 2004 .
[106] A. Müller,et al. A spot market model for pricing derivatives in electricity markets , 2004 .
[107] Rafal Weron,et al. Modeling Electricity Prices with Regime Switching Models , 2004, International Conference on Computational Science.
[108] J. Stock,et al. Combination forecasts of output growth in a seven-country data set , 2004 .
[109] Zuyi Li,et al. Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets , 2004 .
[110] Gary Koop,et al. Forecasting in Dynamic Factor Models Using Bayesian Model Averaging , 2004 .
[111] P. Luh,et al. Improving market clearing price prediction by using a committee machine of neural networks , 2004, IEEE Transactions on Power Systems.
[112] D. Bunn. Modelling prices in competitive electricity markets , 2004 .
[113] H. Geman,et al. Understanding the Fine Structure of Electricity Prices , 2004 .
[114] Takashi Kanamura,et al. On Transition Probabilities of Regime-Switching in Electricity Prices , 2004 .
[115] M. Obersteiner,et al. Forecasting electricity spot-prices using linear univariate time-series models , 2004 .
[116] Yaming Ma,et al. A neural network-based method for forecasting zonal locational marginal prices , 2004, IEEE Power Engineering Society General Meeting, 2004..
[117] C. Rodriguez,et al. Energy price forecasting in the Ontario competitive power system market , 2004, IEEE Transactions on Power Systems.
[118] C. Weber. Uncertainty in the electric power industry , 2004 .
[119] Derek W. Bunn,et al. Unilateral and collusive market power in the electricity pool of England and Wales , 2005 .
[120] C. Batlle,et al. A strategic production costing model for electricity market price analysis , 2005, IEEE Transactions on Power Systems.
[121] Eric Moulines,et al. Inference in hidden Markov models , 2010, Springer series in statistics.
[122] Iivo Vehviläinen,et al. Stochastic factor model for electricity spot price - the case of the Nordic market , 2005 .
[123] Svetlozar T. Rachev,et al. Stable modeling of different European power markets , 2005 .
[124] Cyriel de Jong. The Nature of Power Spikes: a regime-switch approach , 2005 .
[125] Kenneth F. Wallis,et al. Combining Density and Interval Forecasts: A Modest Proposal , 2005 .
[126] T. Evgeniou,et al. To combine or not to combine: selecting among forecasts and their combinations , 2005 .
[127] Energy Risk Modeling: Applied Modeling Methods for Risk Managers , 2005 .
[128] Energy Risk Modeling , 2005 .
[129] A.M. Gonzalez,et al. Modeling and forecasting electricity prices with input/output hidden Markov models , 2005, IEEE Transactions on Power Systems.
[130] M. Ventosa,et al. Electricity market modeling trends , 2005 .
[131] Á. Cartea,et al. Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality , 2005 .
[132] R. Weron,et al. FORECASTING SPOT ELECTRICITY PRICES WITH TIME SERIES MODELS , 2005 .
[133] Chao-Ming Huang,et al. A particle swarm optimization to identifying the ARMAX model for short-term load forecasting , 2005 .
[134] R. Baldick,et al. Supply function equilibrium bidding strategies with fixed forward contracts , 2005, IEEE Transactions on Power Systems.
[135] Amit Konar,et al. Computational Intelligence: Principles, Techniques and Applications , 2005 .
[136] Henrik Jacobsson,et al. Rule Extraction from Recurrent Neural Networks: ATaxonomy and Review , 2005, Neural Computation.
[137] Rafał Weron,et al. Market price of risk implied by Asian-style electricity options , 2005 .
[138] Jong-Bae Park,et al. A system marginal price forecasting based on an artificial neural network adapted with rough set theory , 2005, IEEE Power Engineering Society General Meeting, 2005.
[139] J. Cabero,et al. A medium-term integrated risk management model for a hydrothermal generation company , 2005, IEEE Transactions on Power Systems.
[140] Marie Bessec,et al. What Causes The Forecasting Failure of Markov-Switching Models? A Monte Carlo Study , 2005 .
[141] J. Contreras,et al. Forecasting electricity prices for a day-ahead pool-based electric energy market , 2005 .
[142] Marco van Akkeren,et al. A GARCH forecasting model to predict day-ahead electricity prices , 2005, IEEE Transactions on Power Systems.
[143] A.J. Conejo,et al. Day-ahead electricity price forecasting using the wavelet transform and ARIMA models , 2005, IEEE Transactions on Power Systems.
[144] P.B. Luh,et al. Neural network-based market clearing price prediction and confidence interval estimation with an improved extended Kalman filter method , 2005, IEEE Transactions on Power Systems.
[145] Christopher R. Knittel,et al. An empirical examination of restructured electricity prices , 2005 .
[146] Hans Byström,et al. Extreme Value Theory and Extremely Large Electricity Price Changes , 2005 .
[147] T. Niimura. Forecasting Techniques for Deregulated Electricity Market Prices - Extended Survey , 2006, 2006 IEEE PES Power Systems Conference and Exposition.
[148] K. F. Chan,et al. Using extreme value theory to measure value-at-risk for daily electricity spot prices , 2006 .
[149] N. Amjady. Day-ahead price forecasting of electricity markets by a new fuzzy neural network , 2006, IEEE Transactions on Power Systems.
[150] N. Amjady,et al. Energy price forecasting - problems and proposals for such predictions , 2006 .
[151] R. Weron. Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach , 2006 .
[152] M. Nielsen,et al. A Regime Switching Long Memory Model for Electricity Prices , 2006 .
[153] Hsiao-Tien Pao,et al. A Neural Network Approach to m-Daily-Ahead Electricity Price Prediction , 2006, ISNN.
[154] C. Harris. Electricity Markets: Pricing, Structures and Economics , 2006 .
[155] L. Tesfatsion,et al. Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework , 2007 .
[156] Rafał Weron,et al. Short-term electricity price forecasting with time series models: A review and evaluation , 2006 .
[157] J StevensonMaxwell,et al. Risk Management and the Role of Spot Price Predictions in the Australian Retail Electricity Market , 2006 .
[158] C. Cañizares,et al. Application of Public-Domain Market Information to Forecast Ontario's Wholesale Electricity Prices , 2006, IEEE Transactions on Power Systems.
[159] A. Gil,et al. Forecasting of electricity prices with neural networks , 2006 .
[160] Timothy D. Mount,et al. Predicting price spikes in electricity markets using a regime-switching model with time-varying parameters , 2006 .
[161] T. Senjyu,et al. Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market , 2006 .
[162] K. Mosler,et al. Can Markov regime-switching models improve power-price forecasts? Evidence from German daily power prices , 2006 .
[163] Rob J Hyndman,et al. Another look at measures of forecast accuracy , 2006 .
[164] R. Weron,et al. Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models , 2006 .
[165] Antonio J. Conejo,et al. Electricity price forecasting through transfer function models , 2006, J. Oper. Res. Soc..
[166] Rob J Hyndman,et al. 25 years of time series forecasting , 2006 .
[167] Stefano Fiorenzani. Quantitative methods for electricity trading and risk management : advanced mathematical and statistical methods for energy finance , 2006 .
[168] M. Uhrig-Homburg,et al. Modelling Jumps in Electricity Prices: Theory and Empirical Evidence , 2006 .
[169] Stathis Tompaidis,et al. A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based on Continuous Time Lattices , 2006 .
[170] Pavlos S. Georgilakis,et al. Market Clearing Price Forecasting in Deregulated Electricity Markets Using Adaptively Trained Neural Networks , 2006, SETN.
[171] Lipo Wang,et al. Data Mining With Computational Intelligence , 2006, IEEE Transactions on Neural Networks.
[172] M. McAleer,et al. Multivariate Stochastic Volatility: A Review , 2006 .
[173] Bruce E. Hansen,et al. Interval forecasts and parameter uncertainty , 2006 .
[174] Svetlana Borovkova,et al. Modelling electricity prices by the potential jump-diffusion , 2006 .
[175] E. S. Gardner. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II , 2006 .
[176] The Econometrics of Energy Systems , 2007 .
[177] A. Raftery,et al. Probabilistic forecasts, calibration and sharpness , 2007 .
[178] S. Tafreshi,et al. Modeling and Forecasting of Energy Prices using Non-stationary Markov Models versus Stationary Hybrid Models including a Survey of all Methods , 2007, 2007 IEEE Canada Electrical Power Conference.
[179] Ramaprasad Bhar,et al. A jump diffusion model for spot electricity prices and market price of risk , 2007 .
[180] T. Kristiansen. Pricing of monthly forward contracts in the Nord Pool market , 2007 .
[181] N. Amjady,et al. Short-Term Bus Load Forecasting of Power Systems by a New Hybrid Method , 2007, IEEE Transactions on Power Systems.
[182] Siem Jan Koopman,et al. Periodic Seasonal Reg-ARFIMA–GARCH Models for Daily Electricity Spot Prices , 2007 .
[183] P. McSharry,et al. Short-Term Load Forecasting Methods: An Evaluation Based on European Data , 2007, IEEE Transactions on Power Systems.
[184] Fred Espen Benth,et al. Extracting and Applying Smooth Forward Curves From Average-Based Commodity Contracts with Seasonal Variation , 2007 .
[185] R. Huisman,et al. Hourly Electricity Prices in Day-Ahead Markets , 2006 .
[186] A. Raftery,et al. Strictly Proper Scoring Rules, Prediction, and Estimation , 2007 .
[187] Ralf Becker,et al. Modeling Spikes in Electricity Prices , 2007 .
[188] Shu Fan,et al. Next-day electricity-price forecasting using a hybrid network , 2007 .
[189] Hiroyuki Mori,et al. Data mining of electricity price forecasting with regression tree and normalized radial basis function network , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.
[190] V. Mendes,et al. Short-term electricity prices forecasting in a competitive market: A neural network approach , 2007 .
[191] S. Hall,et al. Combining density forecasts , 2007 .
[192] Yong Bao,et al. Comparing Density Forecast Models , 2007 .
[193] C. Cañizares,et al. Electricity market price volatility: The case of Ontario , 2007 .
[194] J. Kallsen,et al. A Non‐Gaussian Ornstein–Uhlenbeck Process for Electricity Spot Price Modeling and Derivatives Pricing , 2007 .
[195] Dominique Guegan,et al. Forecasting electricity spot market prices with a k-factor GIGARCH process , 2007 .
[196] Helmut Ltkepohl,et al. New Introduction to Multiple Time Series Analysis , 2007 .
[197] Rodney C. Wolff,et al. Outlier Treatment and Robust Approaches for Modeling Electricity Spot Prices , 2007 .
[198] C. García-Martos,et al. Mixed Models for Short-Run Forecasting of Electricity Prices: Application for the Spanish Market , 2007, IEEE Transactions on Power Systems.
[199] Wlodzislaw Duch,et al. What Is Computational Intelligence and Where Is It Going? , 2007, Challenges for Computational Intelligence.
[200] S. Rachev,et al. Spot and Derivative Pricing in the EEX Power Market , 2007 .
[201] Leszek Rutkowski,et al. Computational intelligence - methods and techniques , 2008 .
[202] Dominique Y. Dupont,et al. When Supply Meets Demand: The Case of Hourly Spot Electricity Prices , 2008, IEEE Transactions on Power Systems.
[203] Z. Dong,et al. A Statistical Approach for Interval Forecasting of the Electricity Price , 2008, IEEE Transactions on Power Systems.
[204] J. Geweke,et al. Comparing and Evaluating Bayesian Predictive Distributions of Asset Returns , 2008 .
[205] M. Mazumdar,et al. Forecasting the Mean and the Variance of Electricity Prices in Deregulated Markets , 2008, IEEE Transactions on Power Systems.
[206] E. Bompard,et al. Design of the electricity market monitoring system , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.
[207] Shigeru Kanemoto,et al. Fundamental State Space Time Series Models for JEPX Electricity Prices , 2008 .
[208] X. Huo,et al. Electricity Price Curve Modeling and Forecasting by Manifold Learning , 2008, IEEE Transactions on Power Systems.
[209] L. Soder,et al. Modeling Real-Time Balancing Power Market Prices Using Combined SARIMA and Markov Processes , 2008, IEEE Transactions on Power Systems.
[210] Daniel Ralph,et al. Supply Function Equilibria: Step Functions and Continuous Representations , 2008 .
[211] Ismael Sánchez,et al. Adaptive combination of forecasts with application to wind energy , 2008 .
[212] Deqiang Gan,et al. A game-theoretic model for electricity markets with tight capacity constraints , 2008 .
[213] A. Worthington,et al. Stochastic price modeling of high volatility, mean-reverting, spike-prone commodities: The Australian wholesale spot electricity market , 2008 .
[214] Hélyette Geman,et al. Modelling Electricity Prices with Forward Looking Capacity Constraints , 2008 .
[215] Rob J. Hyndman,et al. Forecasting with Exponential Smoothing , 2008 .
[216] A. Wyłomańska,et al. The impact of forward trading on the spot power price volatility with Cournot competition , 2008, 2008 5th International Conference on the European Electricity Market.
[217] Carlo Mari,et al. Random movements of power prices in competitive markets: a hybrid model approach , 2008 .
[218] Anastasios Panagiotelis,et al. Bayesian Density Forecasting of Intraday Electricity Prices using Multivariate Skew t Distributions , 2008 .
[219] Farshid Keynia,et al. Electricity price forecasting with a new feature selection algorithm , 2008 .
[220] A. Daneshi,et al. Price forecasting in deregulated electricity markets - a bibliographical survey , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.
[221] Christophe Hurlin,et al. Backtesting value-at-risk : a GMM duration-based test , 2008 .
[222] C. L. Anderson,et al. A Hybrid System-Econometric Model for Electricity Spot Prices: Considering Spike Sensitivity to Forced Outage Distributions , 2008, IEEE Transactions on Power Systems.
[223] Philip Gray,et al. A New Approach to Characterizing and Forecasting Electricity Price Volatility , 2008 .
[224] Daniel J. Veit,et al. A Critical Survey of Agent-Based Wholesale Electricity Market Models , 2008 .
[225] Szymon Borak,et al. A semiparametric factor model for electricity forward curve dynamics , 2008 .
[226] Silvano Cincotti,et al. Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms , 2008 .
[227] N. Pindoriya,et al. An Adaptive Wavelet Neural Network-Based Energy Price Forecasting in Electricity Markets , 2008, IEEE Transactions on Power Systems.
[228] F. Benth,et al. Stochastic Modeling of Electricity and Related Markets , 2008 .
[229] Derek W. Bunn,et al. Forecasting electricity prices: The impact of fundamentals and time-varying coefficients , 2008 .
[230] Rob J Hyndman,et al. Forecasting with Exponential Smoothing: The State Space Approach , 2008 .
[231] R. Weron,et al. Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models , 2008 .
[232] Ashwani Kumar,et al. Electricity Price Forecasting in Ontario Electricity Market Using Wavelet Transform in Artificial Neural Network Based Model , 2008 .
[233] A. Kazemi,et al. Day-ahead price forecasting in restructured power systems using artificial neural networks , 2008 .
[234] Paras Mandal,et al. An overview of forecasting problems and techniques in power systems , 2009, 2009 IEEE Power & Energy Society General Meeting.
[235] Farshid Keynia,et al. Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique , 2009 .
[236] Ashwani Kumar,et al. Electricity price forecasting in deregulated markets: A review and evaluation , 2009 .
[237] Nima Amjady,et al. Market data analysis and short-term price forecasting in the Iran electricity market with pay-as-bid payment mechanism , 2009 .
[238] D. Hendry,et al. Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate , 2009, SSRN Electronic Journal.
[239] Aleksander Weron,et al. Stochastic models for bidding strategies on oligopoly electricity market , 2009, Math. Methods Oper. Res..
[240] Farid Atry,et al. Multi-step ahead forecasts for electricity prices using NARX: A new approach, a critical analysis of one-step ahead forecasts , 2009 .
[241] Sam Howison,et al. Stochastic Behaviour of the Electricity Bid Stack: From Fundamental Drivers to Power Prices , 2009 .
[242] Joanna Janczura,et al. Regime-switching models for electricity spot prices: Introducing heteroskedastic base regime dynamics and shifted spike distributions , 2009, 2009 6th International Conference on the European Energy Market.
[243] Nizar Touzi,et al. A structural risk-neutral model of electricity prices , 2009 .
[244] Shahabeddin Akbari,et al. Optimal Bidding Strategy of Power Generating Companies with Consideration of Load Forecast Uncertainty , 2009 .
[245] Nima Amjady,et al. Day‐ahead price forecasting of electricity markets by a hybrid intelligent system , 2009 .
[246] Aldo Cipriano,et al. Short-term forecasting of electricity prices in the Colombian electricity market , 2009 .
[247] Kenneth A. Lindsay,et al. It never rains but it pours: Modelling the persistence of spikes in electricity prices , 2009 .
[248] Ashwani Kumar,et al. Short term price forecasting in deregulated electricity markets: A review of statistical models and key issues , 2009 .
[249] Intra-Day Risk Premia in European Electricity Forward Markets , 2009 .
[250] Ke Meng,et al. Self-adaptive radial basis function neural network for short-term electricity price forecasting , 2009 .
[251] Reinhard Haas,et al. Price formation in electricity forward markets and the relevance of systematic forecast errors , 2009 .
[252] Rafał Weron,et al. Heavy-tails and regime-switching in electricity prices , 2009, Math. Methods Oper. Res..
[253] M. Irving,et al. A review of short-term electricity price forecasting techniques in deregulated electricity markets , 2009, 2009 44th International Universities Power Engineering Conference (UPEC).
[254] Z. Tan,et al. Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models , 2010 .
[255] Carlos Maté,et al. Electric power demand forecasting using interval time series: A comparison between VAR and iMLP , 2010 .
[256] Atsushi Yona,et al. A New Method for Next-Day Price Forecasting for PJM Electricity Market , 2010 .
[257] Erik Haugom,et al. Forecasting Spot Price Volatility Using the Short-Term Forward Curve , 2010 .
[258] Joanna Janczura,et al. An empirical comparison of alternate regime-switching models or electricity spot prices , 2010 .
[259] James D. Hamilton. Regime switching models , 2010 .
[260] Jianzhou Wang,et al. Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling , 2010 .
[261] The dynamics of hourly electricity prices , 2010 .
[262] Mohammad Ali Rastegar,et al. Agent-based Modeling and Simulation of Competitive Wholesale Electricity Markets , 2010 .
[263] Derek W. Bunn,et al. Fundamental and Behavioural Drivers of Electricity Price Volatility , 2010 .
[264] D. Bunn,et al. Analysis of the Nonlinear Response of Electricity Prices to Fundamental and Strategic Factors , 2010, IEEE Transactions on Power Systems.
[265] Afzal S. Siddiqui,et al. Valuing a gas-fired power plant: A comparison of ordinary linear models, regime-switching approaches, and models with stochastic volatility , 2010 .
[266] Peter Reinhard Hansen,et al. The Model Confidence Set , 2010 .
[267] Antonello D’Agostino,et al. Understanding and forecasting aggregate and disaggregate price dynamics , 2011, SSRN Electronic Journal.
[268] Desheng Dash Wu,et al. A soft computing system for day-ahead electricity price forecasting , 2010, Appl. Soft Comput..
[269] M. Shahidehpour,et al. A Hybrid Model for Day-Ahead Price Forecasting , 2010, IEEE Transactions on Power Systems.
[270] Marno Verbeek,et al. Forecast Accuracy and Economic Gains from Bayesian Model Averaging Using Time Varying Weights , 2009 .
[271] James W. Taylor,et al. Triple seasonal methods for short-term electricity demand forecasting , 2010, Eur. J. Oper. Res..
[272] Stefan Trück,et al. The Dynamics of Hourly Electricity Prices , 2010 .
[273] Whei-Min Lin,et al. An enhanced radial basis function network for short-term electricity price forecasting , 2010 .
[274] H. Lütkepohl,et al. Structural Vector Autoregressions with Markov Switching , 2010 .
[275] J. Jackson,et al. Improving energy efficiency and smart grid program analysis with agent-based end-use forecasting models , 2010 .
[276] Stephan Schlueter,et al. A long-term/short-term model for daily electricity prices with dynamic volatility , 2010 .
[277] C. Lucheroni. Stochastic models of resonating markets , 2008 .
[278] Iain MacGill,et al. High penetration wind generation impacts on spot prices in the Australian national electricity market , 2011 .
[279] D. Kuchta,et al. A method of variable selection for fuzzy regression - the possibility approach , 2011 .
[280] Stein-Erik Fleten,et al. Transmission Capacity between Norway and Germany - a Real Options Analysis , 2011 .
[281] Marcel Prokopczuk,et al. The Case of Negative Day-Ahead Electricity Prices , 2011 .
[282] Rosa Espínola,et al. The effect of wind generation and weekday on Spanish electricity spot price forecasting , 2011 .
[283] Mohammad Kazem Sheikh-El-Eslami,et al. Price forecasting of day-ahead electricity markets using a hybrid forecast method , 2011 .
[284] Tuomo Kauranne,et al. Multi-Agent Stochastic Simulation for the Electricity Spot Market Price , 2011 .
[285] Leandro dos Santos Coelho,et al. A RBF neural network model with GARCH errors: Application to electricity price forecasting , 2011 .
[286] W. Härdle,et al. Statistical Tools for Finance and Insurance (2nd edition) , 2011 .
[287] Kenneth F. Wallis,et al. Combining forecasts – forty years later , 2011 .
[288] S. P. Ghoshal,et al. Forecasting the hourly Ontario energy price by local linear wavelet neural network and ARMA models , 2011, ACAI '11.
[289] Pericles A. Mitkas,et al. Enhancing Agent Intelligence through Evolving Reservoir Networks for Predictions in Power Stock Markets , 2011, ADMI.
[290] Stanley S. Reynolds,et al. Supply function equilibria with capacity constraints and pivotal suppliers , 2011 .
[291] V M F Mendes,et al. Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting , 2011, IEEE Transactions on Power Systems.
[292] Yao Dong,et al. Short-term electricity price forecast based on the improved hybrid model , 2011 .
[293] Rafał Weron,et al. Efficient estimation of Markov regime-switching models: An application to electricity spot prices , 2012 .
[294] The biased short-term futures price at Nord Pool: can it really be a risk premium? , 2011 .
[295] Amir F. Atiya,et al. Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances , 2011, IEEE Transactions on Neural Networks.
[296] Francesco Serinaldi,et al. Distributional modeling and short-term forecasting of electricity prices by Generalized Additive Models for Location, Scale and Shape , 2011 .
[297] James Mitchell,et al. Evaluating density forecasts: forecast combinations, model mixtures, calibration and sharpness , 2011 .
[298] Ricardo Cao,et al. Forecasting next-day electricity demand and price using nonparametric functional methods , 2012 .
[299] Isabel Praça,et al. Adaptive Learning in Multiagent Systems: A Forecasting Methodology Based on Error Analysis , 2012, PAAMS.
[300] Carl J. Ullrich,et al. Realized Volatility and Price Spikes in Electricity Markets: The Importance of Observation Frequency , 2009 .
[301] Egil Ferkingstad,et al. Forecasting transmission congestion , 2012 .
[302] Jakub Nowotarski,et al. LTSC_EXAMPLE: MATLAB example script and data for "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices" , 2013 .
[303] Kit Po Wong,et al. Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping , 2012, IEEE Transactions on Power Systems.
[304] J. Contreras,et al. Forecasting Power Prices Using a Hybrid Fundamental-Econometric Model , 2012, IEEE Transactions on Power Systems.
[305] Stathis Tompaidis,et al. A numerical algorithm for pricing electricity derivatives for jump-diffusion processes based on continuous time lattices , 2012, Eur. J. Oper. Res..
[306] Stein-Erik Fleten,et al. Linepack storage valuation under price uncertainty , 2013 .
[307] Arash Miranian,et al. Application of emotional learning fuzzy inference systems and locally linear neuro-fuzzy models for prediction and simulation in dynamic systems , 2012, 2012 IEEE International Conference on Fuzzy Systems.
[308] Carlo Lucheroni,et al. A hybrid SETARX model for spikes in tight electricity markets , 2012 .
[309] A. Nazarova,et al. A Critical Empirical Study of Three Electricity Spot Price Models , 2011 .
[310] Joanna Janczura,et al. Identifying Spikes and Seasonal Components in Electricity Spot Price Data: A Guide to Robust Modeling , 2012 .
[311] Michael Eichler,et al. Fitting semiparametric Markov regime-switching models to electricity spot prices , 2012 .
[312] Andrzej Kocięcki,et al. A Bayesian method of combining judgmental and model-based density forecasts , 2012 .
[313] A. K. Srivastava,et al. A hybrid intelligent algorithm for short-term energy price forecasting in the Ontario market , 2012, 2012 IEEE Power and Energy Society General Meeting.
[314] Ying-Yi Hong,et al. Day-Ahead Electricity Price Forecasting Using a Hybrid Principal Component Analysis Network , 2012 .
[315] Zuren Feng,et al. A proposed grey model for short-term electricity price forecasting in competitive power markets , 2012 .
[316] Vu,et al. Time-Varying Combinations of Predictive Densities Using Nonlinear Filtering , 2012 .
[317] Francesco Ravazzolo,et al. The Power of Weather , 2009, Comput. Stat. Data Anal..
[318] Kenneth A. Lindsay,et al. Forecasting spikes in electricity prices , 2012 .
[319] T. Kristiansen. Forecasting Nord Pool day-ahead prices with an autoregressive model , 2012 .
[320] Luigi Grossi,et al. Working Paper Series Department of Economics University of Verona Forecasting Italian Electricity Zonal Prices with Exogenous Variables , 2011 .
[321] Francis X. Diebold,et al. Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold–Mariano Tests , 2012 .
[322] Carolina García-Martos,et al. Forecasting electricity prices by extracting dynamic common factors: application to the Iberian Market , 2012 .
[323] Juan Ignacio Peña. A note on panel hourly electricity prices , 2012 .
[324] Li Caihong Sun Wenheng. The Study on Electricity Price Forecasting Method based on Time Series ARMAX Model and Chaotic Particle Swarm Optimization , 2012 .
[325] Dogan Keles,et al. Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices , 2012 .
[326] Silvano Cincotti,et al. The Genoa Artificial Power-Exchange , 2012, ICAART.
[327] J. Lagarto,et al. Price forecasting in the day-ahead Iberian electricity market using a conjectural variations ARIMA model , 2012, 2012 9th International Conference on the European Energy Market.
[328] Yunhe Hou,et al. A New Recursive Dynamic Factor Analysis for Point and Interval Forecast of Electricity Price , 2013, IEEE Transactions on Power Systems.
[329] Xing Yan,et al. Mid-term electricity market clearing price forecasting: A hybrid LSSVM and ARMAX approach , 2013 .
[330] R. Weron,et al. Forecasting of daily electricity spot prices by incorporating intra-day relationships: Evidence form the UK power market , 2013, 2013 10th International Conference on the European Energy Market (EEM).
[331] A. Timmermann,et al. Combining expert forecasts: Can anything beat the simple average? , 2013 .
[332] Amitava Bandyopadhayay,et al. Forecasting day-ahead price of electricity – a dynamic regression approach , 2013 .
[333] H. Madsen,et al. Forecasting Electricity Spot Prices Accounting for Wind Power Predictions , 2013, IEEE Transactions on Sustainable Energy.
[334] Marko Delimar,et al. A literature review with statistical analysis of electricity price forecasting methods , 2013, Eurocon 2013.
[335] S. H. Seyedmahmoudi,et al. Optimum Long-Term Electricity Price Forecasting in Noisy and Complex Environments , 2013 .
[336] Dominik Liebl,et al. Modeling and forecasting electricity spot prices: A functional data perspective , 2013, 1310.1628.
[337] George Athanasopoulos,et al. Forecasting: principles and practice , 2013 .
[338] Jakub Nowotarski,et al. An empirical comparison of alternate schemes for combining electricity spot price forecasts , 2013 .
[339] Narayanan Kumarappan,et al. Day-Ahead Deregulated Electricity Market Price Forecasting Using Recurrent Neural Network , 2013, IEEE Systems Journal.
[340] Arash Miranian,et al. Day-ahead electricity price analysis and forecasting by singular spectrum analysis , 2013 .
[341] E. Dumitrescu,et al. Testing Interval Forecasts: a GMM-Based Approach , 2013 .
[342] Ehab E. Elattar,et al. Day-ahead price forecasting of electricity markets based on local informative vector machine , 2013 .
[343] René Carmona,et al. Electricity price modeling and asset valuation: a multi-fuel structural approach , 2012, 1205.2299.
[344] Francesco Lisi,et al. Combining day-ahead forecasts for British electricity prices , 2013 .
[345] Saeid Nahavandi,et al. A neural network-GARCH-based method for construction of Prediction Intervals , 2013 .
[346] R. Aïd,et al. A STRUCTURAL RISK‐NEUTRAL MODEL FOR PRICING AND HEDGING POWER DERIVATIVES , 2013 .
[347] Saeid Nahavandi,et al. Quantifying uncertainties of neural network-based electricity price forecasts , 2013 .
[348] Ofir D. Rubin,et al. The Impact of Expansion of Wind Power Capacity and Pricing Methods on the Efficiency of Deregulated Electricity Markets , 2013 .
[349] Atilla Cifter. Forecasting electricity price volatility with the Markov-switching GARCH model: Evidence from the Nordic electric power market , 2013 .
[350] Dipti Srinivasan,et al. A hybrid intelligent model based on recurrent neural networks and excitable dynamics for price prediction in deregulated electricity market , 2013, Eng. Appl. Artif. Intell..
[351] Rafał Weron,et al. Revisiting the relationship between spot and futures prices in the Nord Pool electricity market , 2014 .
[352] Jakub Nowotarski,et al. An Empirical Comparison of Alternate Schemes for Combining Electricity Spot Price Forecasts , 2013 .
[353] H. Madsen,et al. Predictive Densities for Day-Ahead Electricity Prices Using Time-Adaptive Quantile Regression , 2014 .
[354] R. Weron,et al. Forecasting the occurrence of electricity price spikes in the UK power market , 2014 .
[355] R. Carmona,et al. A Survey of Commodity Markets and Structural Models for Electricity Prices , 2014 .
[356] Azize Hayfavi,et al. Stochastic multifactor modeling of spot electricity prices , 2014, J. Comput. Appl. Math..
[357] Najeh Chaâbane,et al. A hybrid ARFIMA and neural network model for electricity price prediction , 2014 .
[358] R. Weron,et al. Inference for Markov-regime switching models of electricity spot prices , 2014 .
[359] F. Benth,et al. Quantitative energy finance , 2014 .
[360] Joanna Janczura. Pricing electricity derivatives within a Markov regime-switching model: a risk premium approach , 2014, Math. Methods Oper. Res..
[361] Najeh Chaâbane,et al. A novel auto-regressive fractionally integrated moving average–least-squares support vector machine model for electricity spot prices prediction , 2014 .
[362] Marek Lubicz,et al. Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients , 2014, Appl. Soft Comput..
[363] N. Kumarappan,et al. Day-ahead deregulated electricity market price forecasting using neural network input featured by DCT , 2014 .
[364] M. Boudour,et al. Nash Equilibrium in a two-settlement electricity market using competitive coevolutionary algorithms , 2014 .
[365] Rafał Weron,et al. Forecasting of daily electricity prices with factor models: utilizing intra-day and inter-zone relationships , 2015, Comput. Stat..
[366] Wojciech Major. Data Envelopment Analysis as an instrument for measuring the efficiency of courts , 2015 .
[367] D. Dijk,et al. Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices , 2013 .
[368] Jakub Nowotarski,et al. Computing electricity spot price prediction intervals using quantile regression and forecast averaging , 2015, Comput. Stat..
[369] Rafael Mendoza-Arriaga,et al. Modelling electricity prices: a time change approach , 2015 .