Hydroelectric generation prediction method based on extreme learning machine
A technology of extreme learning machine and prediction method, which is applied in the field of electric energy, can solve the problems of improving prediction effect, high operation cost, slow learning algorithm, etc., and achieve the effect of improving learning rate, fast learning speed and good generalization ability
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[0065] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art fall within the protection scope of the present invention.
[0066] Such as figure 1 As shown, according to an embodiment of the present invention, a hydropower prediction method based on an extreme learning machine includes the following steps:
[0067] S1: Obtain parameter data information from the hydropower system, and preprocess the data;
[0068] S2: Split the data into two mutually exclusive parts, one for data training and the other for data testing;
[0069] S3: Obtain training data and use the training data to build...
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