Daily electricity consumption prediction method based on artificial neural network
A technology of artificial neural network and forecasting method, which is applied in the field of load forecasting of power system, can solve problems such as difficult to achieve forecasting accuracy, achieve high innovation and improve management level
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[0051] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0052] Artificial Neural Network (ANN), also known as the Connectionism Model or the Parallel Processing Model, is composed of a large number of simple neurons connected extensively. It is studied in modern neuroscience It reflects the basic characteristics of the human brain, but it is not a true description of the human brain, but an abstract simplification and simulation of it.
[0053] Therefore, the ANN is a network formed by connecting a large number of neurons in different levels and ways, and the connection weights between neurons are the basic learning units of the ANN.
[0054] if x 1 ,x 2 ,···,x j is the input signal of the neuron, w ij is the connection weight of the neuron, and is the threshold of the neuron, then the output y of the neuron j for:
[0055] y j = f ...
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