To forecast solar power's short-term fluctuation stemming from changes in cloud coverage, a convolutional neural networks (CNN) is used to correlate PV output to contemporaneous sky images.

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For a finite group G, we define an equivariant cobordism category CdG. Objects of the category are (d−1)‐dimensional closed smooth G‐manifolds and morphisms are smooth d‐dimensional equivariant cobordisms. We identify the homotopy type of its classifying space (that is, geometric realization of its simplicial nerve) as the fixed points of the infinite loop space of a certain equivariant Thom spectrum.

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