Convolutional neural network for estimating a solar energy production indicator

A method for estimating at least one energy production indicator of a solar energy production system of the photovoltaic cell type, comprising:

• reception of at least one image obtained from a wide-angle image capture device, the obtained image being a hemispherical image of the sky,
• processing of said obtained image by at least one convolutional neural network comprising at least two layers respectively for the application of a convolution filter to said obtained image and for the estimation of an energy production indicator;
• wherein a series of images is obtained from the wide-angle image capture device;
• wherein the images of the series are processed in a first processing by a recurrent convolutional neural network in order to obtain a context vector, said context vector being subjected to a second processing by a recurrent non-convolutional neural network in order to obtain the energy production indicator;
• and
• wherein the application of the convolution filter is implemented in the recurrent convolutional neural network and the estimation of the energy production indicator is implemented in the recurrent non-convolutional neural network.