Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting

More accurate and precise energy demand forecasts are required when energy decisions are made in a competitive environment. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated. Examples include seasonality, c...

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Autor principal:	Wei-Chiang Hong (Ed.)
Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Matèries:	QA75.5-76.95 TK7885-7895 hybrid models chaotic mapping mechanism recurrence plot theory energy forecasting empirical mode decomposition evolutionary algorithms quantum computing mechanism general regression neural network optimization methodologies support vector regression/support vector machines thema EDItEUR::U Computing and Information Technology::UY Computer science
Accés en línia:	29152
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