Electricity consumption prediction method based on cloud computing
A prediction method and electricity consumption technology, applied in the field of smart grid, can solve the problems of single-node data mining unable to meet the prediction requirements and low efficiency, and achieve the effects of convenient scheduling, solving conversion problems, and improving computing efficiency.
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[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0038] see figure 1 As shown, a cloud computing-based electricity consumption forecasting method includes the following steps:
[0039] S1, define the collection node of electric meter as the vertex collection of graph, the distance between each electric meter collection node is as the edge collection of graph, construct graph convolutional neural network; The construction method of described graph convolutional neural network is:
[0040] Define graph G=(V, ...
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