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Título de Acceso Abierto

Feature Papers of Forecasting 2021

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

renewable energy sources; load forecasting; frequency regulation; artificial neural network; model predictive control; building energy management; forecast; neural network; SCADA; user comfort; tobacco endgame; policy; simulation model; tobacco tax revenue; information; combination; uncertainty; theta; temporal aggregation; bagging; sub-seasonal series; power outages; machine learning; thunderstorms; numerical weather prediction; battery energy storage system; battery sizing; photovoltaic power production; performance ratio; electrical load; decision tree; k-means clustering; load curve; unevenly spaced time series; long short-term memory (LSTM); back-propagation neural network (BPNN); water consumption; Holt method; subsampling bootstrapped; harmony search algorithm; forecasting; ARCH-GARCH; model-free; aggregated forecasting; deep learning; Loop Current; ocean current forecasting; LSTM; ocean measurements; COVID-19; probabilistic graphical models; interpretable machine learning; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-5572-0

País de edición

Suiza