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Short-Term Load Forecasting 2019

Resumen/Descripción – provisto por la editorial

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Palabras clave – provistas por la editorial

short-term load forecasting; demand-side management; pattern similarity; hierarchical short-term load forecasting; feature selection; weather station selection; load forecasting; special days; regressive models; electric load forecasting; data preprocessing technique; multiobjective optimization algorithm; combined model; Nordic electricity market; electricity demand; component estimation method; univariate and multivariate time series analysis; modeling and forecasting; deep learning; wavenet; long short-term memory; demand response; hybrid energy system; data augmentation; convolution neural network; residential load forecasting; forecasting; time series; cubic splines; real-time electricity load; seasonal patterns; Load forecasting; VSTLF; bus load forecasting; DBN; PSR; distributed energy resources; prosumers; building electric energy consumption forecasting; cold-start problem; transfer learning; multivariate random forests; random forest; electricity consumption; lasso; Tikhonov regularization; load metering; preliminary load; short term load forecasting; performance criteria; power systems; cost analysis; day ahead; feature extraction; deep residual neural network; multiple sources; electricity

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03943-443-5

País de edición

Suiza