Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy   Efficient integration of solar energy into the electricity mix depends on a
reliable anticipation of its intermittency. A promising approach to forecast
the temporal variability of solar irradiance resulting from the cloud cover
dynamics is based on the analysis of sequences of ground-taken sky images or
satellite images. Despite encouraging results, a recurrent limitation of
existing deep learning approaches lies in the ubiquitous tendency of reacting
to past observations rather than actively anticipating future events. This
leads to a frequent temporal lag and limited ability to predict sudden events.
To address this challenge, we introduce ECLIPSE, a spatio-temporal neural
network architecture that models cloud motion from sky images to not only
predict future irradiance levels but also segmented images, which provide
richer information on the local irradiance map. We show that ECLIPSE
anticipates critical events and reduces temporal delay while generating
visually realistic futures.

19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph