State-of-the-art of electricity price forecasting

Since the deregulation of the electricity power industry, many methods and techniques have been developed to forecast the electricity prices in the competitive environment. This paper classifies and compares different techniques in the literature of electricity price forecasting. The information is summarized based on the technical objectives, scope, time horizon, input data and the level of accuracy. The methods and techniques for electricity price forecasting are categorized into equilibrium analysis, simulation methods, time series, econometric methods, intelligent systems, and volatility analysis

[1]  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).

[2]  T. Mount,et al.  ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS AND THE IMPLICATIONS FOR OPTION VALUES , 1998 .

[3]  S. Deng,et al.  Stochastic Models of Energy Commodity Prices and Their Applications : Mean-reversion with Jumps and Spikes , 1998 .

[4]  B. Ramsay,et al.  A neural network based estimator for electricity spot-pricing with particular reference to weekend and public holidays , 1998, Neurocomputing.

[5]  Jinxiang Zhu,et al.  Forecasting energy prices in a competitive market , 1999 .

[6]  Price volatility-a natural consequence of electricity market deregulation and a trader's delight , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[7]  T. Dillon,et al.  Electricity price short-term forecasting using artificial neural networks , 1999 .

[8]  G. Sheblé,et al.  Price signal analysis for competitive electric generation companies , 2000, DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382).

[9]  M. Ilić,et al.  Stochastic modeling of electric power prices in a multi-market environment , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[10]  D.W. Bunn,et al.  Forecasting loads and prices in competitive power markets , 2000, Proceedings of the IEEE.

[11]  A. Papalexopoulos,et al.  Forecasting power market clearing price and quantity using a neural network method , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[12]  R. Deb,et al.  How to Incorporate Volatility and Risk in Electricity Price Forecasting , 2000 .

[13]  Shi-Jie Deng,et al.  Pricing electricity derivatives under alternative stochastic spot price models , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[14]  Fernando L. Alvarado,et al.  Understanding price volatility in electricity markets , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[15]  Eduardo S. Schwartz,et al.  Electricity Prices and Power Derivatives: Evidence from the Nordic Power Exchange , 2000 .

[16]  M. Mazumdar,et al.  On the computation of the probability distribution of the spot market price in a deregulated electricity market , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[17]  Chen-Ching Liu,et al.  Volatility in the California power market: source, methodology and recommendations , 2001 .

[18]  P. Luh,et al.  Forecasting power market clearing price and its discrete PDF using a Bayesian-based classification method , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[19]  Maxwell Stevenson,et al.  Filtering and Forecasting Spot Electricity Prices in the Increasingly Deregulated Australian Electricity Market , 2001 .

[20]  Ali Keyhani,et al.  Stochastic price modeling of electricity in deregulated energy markets , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[21]  T. Niimura,et al.  A day-ahead electricity price prediction based on a fuzzy-neuro autoregressive model in a deregulated electricity market , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[22]  J. Contreras,et al.  ARIMA Models to Predict Next-Day Electricity Prices , 2002, IEEE Power Engineering Review.

[23]  L. Zhang,et al.  Energy Clearing Price Prediction and Confidence Interval Estimation with Cascaded Neural Networks , 2002, IEEE Power Engineering Review.

[24]  J. Contreras,et al.  Forecasting Next-Day Electricity Prices by Time Series Models , 2002, IEEE Power Engineering Review.

[25]  A. Venturini,et al.  Day-ahead market price volatility analysis in deregulated electricity markets , 2002, IEEE Power Engineering Society Summer Meeting,.

[26]  Y.-y. Hong,et al.  Locational marginal price forecasting in deregulated electricity markets using artificial intelligence , 2002 .

[27]  P. Luh,et al.  Improving market clearing price prediction by using a committee machine of neural networks , 2004, IEEE Transactions on Power Systems.

[28]  C. Rodriguez,et al.  Energy price forecasting in the Ontario competitive power system market , 2004, IEEE Transactions on Power Systems.

[29]  C. Batlle,et al.  A strategic production costing model for electricity market price analysis , 2005, IEEE Transactions on Power Systems.

[30]  A.M. Gonzalez,et al.  Modeling and forecasting electricity prices with input/output hidden Markov models , 2005, IEEE Transactions on Power Systems.

[31]  Marco van Akkeren,et al.  A GARCH forecasting model to predict day-ahead electricity prices , 2005, IEEE Transactions on Power Systems.

[32]  A.J. Conejo,et al.  Day-ahead electricity price forecasting using the wavelet transform and ARIMA models , 2005, IEEE Transactions on Power Systems.

[33]  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.