Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data   The transition to green energy grids depends on detailed wind and solar
forecasts to optimize the siting and scheduling of renewable energy generation.
Operational forecasts from numerical weather prediction models, however, only
have a spatial resolution of 10 to 20-km, which leads to sub-optimal usage and
development of renewable energy farms. Weather scientists have been developing
super-resolution methods to increase the resolution, but often rely on simple
interpolation techniques or computationally expensive differential
equation-based models. Recently, machine learning-based models, specifically
the physics-informed resolution-enhancing generative adversarial network
(PhIREGAN), have outperformed traditional downscaling methods. We provide a
thorough and extensible benchmark of leading deep learning-based
super-resolution techniques, including the enhanced super-resolution generative
adversarial network (ESRGAN) and an enhanced deep super-resolution (EDSR)
network, on wind and solar data. We accompany the benchmark with a novel
public, processed, and machine learning-ready dataset for benchmarking
super-resolution methods on wind and solar data.

18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas