Abstract: The prediction of Distributed Energy Resources (DERs) has become increasingly vital for future power networks to achieve net-zero carbon emissions. However, existing methods for this problem ...
Abstract: Revealing the latent low-dimensional geometric structure of high-dimensional data is a crucial task in unsupervised representation learning. Traditional manifold learning, as a typical ...
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
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