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Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is crucial that they are theoretically sound. In addition, more accurate...

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Hoofdauteur: Wei-Chiang Hong (Ed.)
Formaat: Online
Taal:Engels
Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2021
Onderwerpen:
QA75.5-76.95
TA1-2040
hybrid models
energy forecasting
empirical mode decomposition
evolutionary algorithms
wavelet transform
quantum computing mechanism
support vector regression / support vector machines
chaotic mapping mechanism
extreme learning machine
fuzzy time series
kernel methods
spiking neural networks
thema EDItEUR::U Computing and Information Technology::UY Computer science
Online toegang:29155
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