Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads
  and Hidden Representations   The nexus between transportation, the power grid, and consumer behavior is
more pronounced than ever before as the race to decarbonize the transportation
sector intensifies. Electrification in the transportation sector has led to
technology shifts and rapid deployment of electric vehicles (EVs). The
potential increase in stochastic and spatially heterogeneous charging load
presents a unique challenge that is not well studied, and will have significant
impacts on grid operations, emissions, and system reliability if not managed
effectively. Realistic scenario generators can help operators prepare, and
machine learning can be leveraged to this end. In this work, we develop
generative adversarial networks (GANs) to learn distributions of electric
vehicle (EV) charging sessions and disentangled representations. We show that
this model structure successfully parameterizes unlabeled temporal and power
patterns without supervision and is able to generate synthetic data conditioned
on these parameters. We benchmark the generation capability of this model with
Gaussian Mixture Models (GMMs), and empirically show that our proposed model
framework is better at capturing charging distributions and temporal dynamics.

23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph