| CPC G06F 17/18 (2013.01) [F24F 11/47 (2018.01); F24F 11/56 (2018.01); F24F 11/63 (2018.01); G06N 20/00 (2019.01); H04L 67/125 (2013.01); F24F 2140/60 (2018.01)] | 18 Claims |
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1. A time-series data prediction method comprising:
collecting, by a processor, a time-series data including a power consumption data for a preset time period of an air conditioner;
replacing, by the processor, invalid data included in the time-series data with preset valid data;
inputting, by the processor, the time-series data including the valid data to a time-series model stored in a memory;
obtaining, by the processor, a plurality of prediction data as outputs of the time-series model, the plurality of prediction data including a prediction data corresponding to the replaced preset valid data; and
restoring, by the processor, the prediction data corresponding to the replaced preset valid data among the plurality of prediction data output from the time-series model to the invalid data,
wherein the
invalid data is null data corresponding to power consumption less than or equal to a preset reference value, and the valid data is data other than the null data.
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