Daniel May

Daniel May

Universidade de São Paulo

H-index: 9

Latin America-Brazil

About Daniel May

Daniel May, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidade de São Paulo, specializes in the field of Astronomia.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dust beyond the torus: Revealing the mid-infrared heart of local Seyfert ESO 428-G14 with JWST/MIRI

Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning

The narrow-line region properties of ESO 138-G001 unveiled by SOAR/SIFS observations

Ensembling Diverse Policies Improves Generalizability of Reinforcement Learning Algorithms in Continuous Control Tasks

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned

Reinforcement learning-driven local transactive energy market for distributed energy resources

The DIVING3D survey – Deep Integral Field Spectrograph View of Nuclei of Galaxies – I. Definition and sample presentation

Flexibility platform for community energy systems

Daniel May Information

University

Position

___

Citations(all)

250

Citations(since 2020)

212

Cited By

123

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Daniel May Skills & Research Interests

Astronomia

Top articles of Daniel May

Dust beyond the torus: Revealing the mid-infrared heart of local Seyfert ESO 428-G14 with JWST/MIRI

arXiv preprint arXiv:2404.16100

2024/4/24

Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning

arXiv preprint arXiv:2404.13142

2024/4/19

The narrow-line region properties of ESO 138-G001 unveiled by SOAR/SIFS observations

Monthly Notices of the Royal Astronomical Society

2024/2

Ensembling Diverse Policies Improves Generalizability of Reinforcement Learning Algorithms in Continuous Control Tasks

Proceedings of the Adaptive and Learning Agents Workshop (ALA 2023). ALA

2023

Reinforcement learning-driven local transactive energy market for distributed energy resources

Energy and AI

2022/5/1

The DIVING3D survey – Deep Integral Field Spectrograph View of Nuclei of Galaxies – I. Definition and sample presentation

Monthly Notices of the Royal Astronomical Society

2022/3

Flexibility platform for community energy systems

2020/9/22

Alternative classification diagrams for AGN/SBGs

Boletin de la Asociacion Argentina de Astronomia La Plata Argentina

2020/8

The nuclear architecture of NGC 4151: on the path toward a universal outflow mechanism in light of NGC 1068

Monthly Notices of the Royal Astronomical Society

2020/8

Constraining X-ray reflection in the low-luminosity AGN NGC 3718 using NuSTAR and XMM–Newton

Monthly Notices of the Royal Astronomical Society

2020/8

Forecasting photovoltaic power production using a deep learning sequence to sequence model with attention

2020/7/19

Daniel May
Daniel May

H-Index: 6

Petr Musilek
Petr Musilek

H-Index: 18

The nuclear architecture of NGC 4151: on the trace of a global outflow mechanism in light of NGC 1068

Monthly Notices of the Royal Astronomical Society

2020/6/4

Analytical and numerical study of the out-of-equilibrium current through a helical edge coupled to a magnetic impurity

Physical Review B

2020/4/13

Daniel May
Daniel May

H-Index: 6

Exploring the differences of integrated and spatially resolved analysis using integral field unit data: The case of Abell 14

Monthly Notices of the Royal Astronomical Society

2020/4

On the path toward a universal outflow mechanism in light of NGC 4151 and NGC 1068

Proceedings of the International Astronomical Union

2020/3

The curious activity in the nucleus of NGC 4151: jet interaction causing variability?

2020

Numerical study of magnetic impurities in graphene and steady-state transport in quantum impurity systems

2020/1/1

Daniel May
Daniel May

H-Index: 6

See List of Professors in Daniel May University(Universidade de São Paulo)