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• W2049986915 abstract "The main methodologies used in electricity price forecasting have been reviewed in this paper. The following price-forecasting techniques have been covered: (i) stochastic time series, (ii) causal models, and (iii) artificial intelligence based models. The quantitative analysis of the work done by various authors has been presented based on (a) time horizon for prediction, (b) input variables, (c) output variables, (d) results, (e) data points used for analysis, (f) preprocessing technique employed, and (g) architecture of the model. The results have been presented in the form of tables for ease of comparison. Classification of various price-influencing factors used by different researchers has been done and put for reference. Application of various models as applied to different electricity markets is also presented for consideration." @default.
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• W2049986915 date "2009-01-01" @default.
• W2049986915 modified "2023-10-07" @default.
• W2049986915 title "Electricity price forecasting in deregulated markets: A review and evaluation" @default.
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• W2049986915 doi "https://doi.org/10.1016/j.ijepes.2008.09.003" @default.
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