Downloads provided by UsageCountsPractical data mining in a large utility company
Hébrail, Georges;
Practical data mining in a large utility company
We present in this paper the main applications of data mining techniques at Electricité de France, the French national electric power company. This includes electric load curve analysis and prediction of customer characteristics. Closely related with data mining techniques are data warehouse management problems: we show that statistical methods can be used to help to manage data consistency and to provide accurate reports even when missing data are present.
Load curve analysis, Aplicacions (Matemàtica), :62 Statistics::62M Inference from stochastic processes [Classificació AMS], Statistical methods, Data warehouses, Statistics, Classificació AMS::62 Statistics::62H Multivariate analysis, Processos estocàstics, :62 Statistics::62H Multivariate analysis [Classificació AMS], :62 Statistics::62P Applications [Classificació AMS], Classificació AMS::62 Statistics::62P Applications, Multivariate analysis, Inference, Utility company, Inferència, Applications, Anàlisi multivariable, Classificació AMS::62 Statistics::62M Inference from stochastic processes, Data mining
Load curve analysis, Aplicacions (Matemàtica), :62 Statistics::62M Inference from stochastic processes [Classificació AMS], Statistical methods, Data warehouses, Statistics, Classificació AMS::62 Statistics::62H Multivariate analysis, Processos estocàstics, :62 Statistics::62H Multivariate analysis [Classificació AMS], :62 Statistics::62P Applications [Classificació AMS], Classificació AMS::62 Statistics::62P Applications, Multivariate analysis, Inference, Utility company, Inferència, Applications, Anàlisi multivariable, Classificació AMS::62 Statistics::62M Inference from stochastic processes, Data mining
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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