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Published in 2023 at "Scientia Iranica"
DOI: 10.24200/sci.2023.59765.6410
Abstract: - A heterogeneous ensemble methods for load forecasting (short-term and mid-term) are proposed here. The proposed approach comprises of a two-level hierarchy of machine learning based methods and classical methods to form the ensemble forecaster,…
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Keywords:
two level;
smart metered;
heterogeneous ensemble;
load forecasting ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.850932
Abstract: Spiking neural networks (SNNs) are regarded as a promising candidate to deal with the major challenges of current machine learning techniques, including the high energy consumption induced by deep neural networks. However, there is still…
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Keywords:
driven shot;
spike;
machine learning;
shot learning ... See more keywords