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Year of publication
Subject
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Comparison 1 Empirical model 1 Input feature 1 Kernel function 1 Support vector machine 1 compound classifier 1 electricity price forecasts 1 hybrid methodology 1 input feature selection 1 price spike forecasts 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 2
Language
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Undetermined 2
Author
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Chen, Ji-Long 1 Liu, Hong-Bin 1 Partanen, Jarmo 1 Voronin, Sergey 1 Wu, Wei 1 Xie, De-Ti 1
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Energies 1 Renewable Energy 1
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RePEc 2
Showing 1 - 2 of 2
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Price Forecasting in the Day-Ahead Energy Market by an Iterative Method with Separate Normal Price and Price Spike Frameworks
Voronin, Sergey; Partanen, Jarmo - In: Energies 6 (2013) 11, pp. 5897-5920
A forecasting methodology for prediction of both normal prices and price spikes in the day-ahead energy market is proposed. The method is based on an iterative strategy implemented as a combination of two modules separately applied for normal price and price spike predictions. The normal price...
Persistent link: https://www.econbiz.de/10010710609
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Cover Image
Estimation of monthly solar radiation from measured temperatures using support vector machines – A case study
Chen, Ji-Long; Liu, Hong-Bin; Wu, Wei; Xie, De-Ti - In: Renewable Energy 36 (2011) 1, pp. 413-420
Solar radiation is the principal and fundamental energy for many physical, chemical and biological processes. However, it is measured at a very limited number of meteorological stations in the world. This paper presented the methods of monthly mean daily solar radiation estimation using support...
Persistent link: https://www.econbiz.de/10011046032
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