Time series data prediction method and device, computer equipment and medium
A technology for time series data and forecasting methods, applied in computer parts, forecasting, computing, etc., can solve problems such as large data heterogeneity, low data forecasting accuracy, and less data, and achieve the effect of improving forecasting accuracy.
Pending Publication Date: 2022-03-08
ENNEW ICOME INTERNET TECH CO LTD
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[0003] In view of this, the embodiments of the present disclosure provide time series data prediction methods, devices, computer equipment and media to solve the problem of data heterogeneity in different sources due to the lack of data obtained in the prior art, which leads to the accuracy of data prediction. lower degree problem
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[0015] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and techniques are presented for a thorough understanding of the embodiments of the present disclosure. It will be apparent, however, to one skilled in the art that the present disclosure may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
[0016] The present disclosure will be described in detail below with reference to the accompanying drawings and embodiments.
[0017] Federated learning refers to the comprehensive utilization of various AI (Artificial Intelligence, artificial intelligence) technologies under the premise of ensuring data security and user privacy, and joint multi-party cooperation to jointly mine data va...
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The invention relates to the technical field of energy data processing, and provides a time series data prediction method and device, computer equipment and a medium. The method comprises the following steps: acquiring a reference data set and at least one supplementary test set; processing metadata in the reference data set and the supplementary test set based on a preset data set decomposition mode to obtain a reference trend subset, a reference period subset, a supplementary trend subset and a supplementary period subset; generating a target trend model; generating a target period model; and generating target prediction data based on a preset calculation strategy, the reference trend subset, the reference period subset, the target trend model and the target period model. According to the embodiment of the invention, through the steps, the prediction precision of the data can be greatly improved.
Description
technical field [0001] The present disclosure relates to the technical field of energy data processing, and in particular to a time series data prediction method, device, computer equipment and media. Background technique [0002] With the rapid development of data processing technology, more and more data processing requirements are generated in the energy field. In some cases, due to the limitation of current data or the sensitivity of data, there is little data available, and the problem of heterogeneity of data from different sources is relatively large, resulting in low accuracy of data prediction. Contents of the invention [0003] In view of this, the embodiments of the present disclosure provide time series data prediction methods, devices, computer equipment and media to solve the problem of data heterogeneity in different sources due to the lack of data obtained in the prior art, which leads to the accuracy of data prediction. low-level problem. [0004] Accord...
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IPC IPC(8): G06Q10/04G06K9/62G06F16/23
CPCG06Q10/04G06F16/23G06F18/214
Inventor 马国良
Owner ENNEW ICOME INTERNET TECH CO LTD