A power data center and its working method
A working method and power data technology, applied in the field of power system, can solve problems such as single input data, and achieve the effects of reducing deviation, reliable prediction results and improving accuracy
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Embodiment 1
[0044] Such as figure 2 As shown, a working method of a power data center includes the following steps:
[0045] Step S110: reading stored historical data in response to a trigger command;
[0046] The power data center, also known as the power grid data center, is a unified platform for company-level power big data resources, data product display, sharing, collaboration, communication, transactions, and capability sharing services. The power data center stores standardized and large amounts of history Business data, algorithm models, and computing power provide effective support for the power forecasting model. This application uses the standardized SQL statement (SQL statement, that is, structured query language, which is a database query and programming language used to access data and query, update and manage relational database systems) to extract the required The historical data and related information of the region form a data source table.
[0047] Since the SQL co...
Embodiment 2
[0072] The first embodiment describes the working method of the power data center, and further, this application may also include the following steps:
[0073] The combined forecasting model is corrected by using the historical data, and the optimized forecasting model is obtained.
[0074] The present invention automatically compares the prediction result of the combined forecasting model with the real data of the monthly power of the station in the electric power data, and continuously adjusts the parameters of the combined forecasting model until the deviation of the forecasted result of the combined forecasting model is within a preset range.
[0075] The power data center stores a large amount of real and effective monthly electricity related data. By comparing the prediction results of the combined forecasting model with the real monthly electricity historical data, the deviation of the prediction results is obtained. Analyze the error, and carry out model feedback and v...
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