A comparison of univariate methods for forecasting electricity demand up to a day ahead

International Journal of Forecasting - Tập 22 Số 1 - Trang 1-16 - 2006
James W. Taylor1, Lilian M. de Menezes2, Patrick E. McSharry3
1Saïd Business School, University of Oxford, Park End Street, Oxford OX1 1HP, UK
2Cass Business School, City University, UK
3Department of Engineering, University of Oxford, UK

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Tài liệu tham khảo

Abraham, 2001, A neuro-fuzzy approach for modelling electricity demand in Victoria, Applied Soft Computing Journal, 1, 127, 10.1016/S1568-4946(01)00013-8

Asar, 1994, A specification of neural network applications in the load forecasting problem, IEEE Transactions on Control Systems Technology, 2, 135, 10.1109/87.294341

Bishop, 1997

Box, 1994

Campo, 1987, Adaptive weather-sensitive short-term load forecasting, IEEE Transactions on Power Systems, 3, 592, 10.1109/TPWRS.1987.4335174

Carnero, 2003

Charytoniuk, 1998, Nonparametric regression based short-term load forecasting, IEEE Transactions on Power Systems, 13, 725, 10.1109/59.708572

Chaterjee, 1999

Chow, 1996, Neural network based short-term load forecasting system using weather compensation, IEEE Transactions on Power Systems, 11, 1736, 10.1109/59.544636

Christiaanse, 1971, Short-term load forecasting using general exponential smoothing, IEEE Transactions on Power Apparatus and Systems, PAS-90, 900, 10.1109/TPAS.1971.293123

Cottrell, 1995, Neural modelling for time series: A statistical stepwise method for weight elimination, IEEE Transactions on Neural Networks, 6, 1355, 10.1109/72.471372

Daneshdoot, 1998, Neural network with fuzzy set-based classification for short term load forecasting, IEEE Transactions on Power Systems, 13, 1386, 10.1109/59.736281

Darbellay, 2000, Forecasting the short-term demand for electricity — Do neural networks stand a better chance?, International Journal of Forecasting, 16, 71, 10.1016/S0169-2070(99)00045-X

Hippert, 2001, Neural networks for short term load forecasting: A review and evaluation, IEEE Transactions on Power Systems, 16, 44, 10.1109/59.910780

Infield, 1998, Optimal smoothing for trend removal in short-term electricity demand forecasting, IEEE Transactions on Power Systems, 13, 1115, 10.1109/59.709108

Laing, 1987, A comparison of time series forecasting methods for predicting the CEGB demand

Lee, 1992, Short-term load forecasting using an artificial neural network, IEEE Transactions on Power Systems, 7, 124, 10.1109/59.141695

Liu, 1996, Comparison of very short term load forecasting techniques, IEEE Transactions on Power Systems, 11, 877, 10.1109/59.496169

Piras, 1999, A tutorial on short term load forecasting, Engineering Intelligent Systems, 1, 41

Ramanathan, 1997, Short-run forecasts of electricity loads and peaks, International Journal of Forecasting, 13, 161, 10.1016/S0169-2070(97)00015-0

Rui, Y, & El-Keib, A. A. (2004). A review of ANN-based short-term load forecasting models, mimeo, Department of Electrical Engineering, University of Alabama.

Smith, 1989, Combination of forecasts in electricity demand prediction, Journal of Forecasting, 8, 349, 10.1002/for.3980080316

Souza, 2003, Forecasting electricity load demand: Analysis of the 2001 rationing period in Brazil, vol. 491

Strang, 1993

Taylor, 2003, Short-term electricity demand forecasting using double seasonal exponential smoothing, Journal of the Operational Research Society, 54, 799, 10.1057/palgrave.jors.2601589

Taylor, 2003, Using weather ensemble predictions in electricity demand forecasting, International Journal of Forecasting, 19, 57, 10.1016/S0169-2070(01)00123-6

Taylor, 2000, Using combined forecasts with changing weights for electricity demand profiling, Journal of the Operational Research Society, 51, 72, 10.1057/palgrave.jors.2600856

Zhang, 1998, Forecasting with artificial neural networks: The state of the art, International Journal of Forecasting, 14, 35, 10.1016/S0169-2070(97)00044-7