Power data control panel and working method
A technology of power data and working methods, 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] like 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 comma...
Embodiment 2
[0072] The working method of the power data middle station is described in the first embodiment. Further, the present application may further include the following steps:
[0073] Use historical data to revise the combined forecasting model to obtain an optimized forecasting model.
[0074] The present invention automatically compares the prediction result of the combined forecasting model with the real data of monthly electricity in the power data center, and continuously adjusts the parameters of the combined forecasting model until the result deviation of the combined forecasting model is within a preset range.
[0075] There is a large amount of real and effective monthly power related data stored in the power data center. By comparing the forecast results of the combined forecasting model with the historical data of the real monthly power, the deviation of the forecast results is obtained. The error is analyzed, and model feedback and verification optimization are carried...
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