Small hydropower station generating capacity prediction system based on cloud edge fusion architecture and implementation method thereof
A forecasting system and small hydropower technology, applied in forecasting, neural architecture, neural learning methods, etc., can solve problems such as poor communication conditions, difficult maintenance, and inability to control, so as to improve speed and accuracy, reduce training data, and increase independence Effect
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[0052] The technical solution of the present invention will be described in further non-limiting detail below in conjunction with the embodiments and accompanying drawings.
[0053] Such as figure 1 As shown, the small hydropower generation prediction system based on cloud-edge fusion architecture includes: edge server and cloud computing server; the edge server is used to store meteorological data and small hydropower generation data in the measured area, and to build a small hydropower group generation prediction model, And according to the real-time meteorological data and small hydropower generation data transmitted by the cloud computing service, use the prediction model to predict the future power generation of the small hydropower group in the measured area, and then send the prediction results back to the cloud computing server. The edge server can use the local server of the power grid dispatching center ;The cloud computing server is used to transmit the real-time me...
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