ECLIPSE is a spatio-temporal neural network architecture that models cloud motion from sky images to predict both future segmented images and corresponding irradiance levels . It is based on the analysis of sequences of ground-taken sky images . It reduces temporal delay while generating visually realistic futures . We show that ECLIPE anticipatescritical events and considerably reduces temporal delays while generating a realistic future . We are the first team to develop a neural network that can predict sudden events and predict solar irradiance in a long-term future . Back to Mail Online home .Back to the page you came from .

Author(s) : Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan Lasenby

Links : PDF - Abstract

Code :

https://github.com/oktantod/RoboND-DeepLearning-Project


Coursera

Keywords : future - temporal - predict - images - generating -

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