Abstract: Vector quantized variational autoencoders, as variants of variational autoencoders, effectively capture discrete representations by quantizing continuous latent spaces and are widely used in ...
Abstract: A quantitative assessment of the uncertainty of behind-the-meter (BTM) PVs is critical for accurate forecasts, voltage control, and distribution system security. This paper proposes a novel ...
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