Demo Data from VLDB 2026 / reviewers in the wild / expert
Juliano S. A. Carneiro
dblp:36/5486
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids
power system protection |
0.1 | 1 | 2007 | Dependability Analysis of Power System Protections using Stochastic Hybrid Simulation with Modelica · ICRA 2007 |
Performance modeling and evaluation
simulation |
0.0 | 1 | 2007 | Dependability Analysis of Power System Protections using Stochastic Hybrid Simulation with Modelica · ICRA 2007 |
Methods — techniques the papers use, named apart from their topics
stochastic hybrid simulation · 0.1modelica · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Dependability Analysis of Power System Protections using Stochastic Hybrid Simulation with ModelicaabstractThis paper addresses the dependability analysis of protection schemes of transmission grids using a computer simulator. Following modern protection schemes, a stochastic hybrid model has been developed in Modelica/Dymola environment. The model supports the evaluation of required dependability on the basis of suitable probability indices. A different simulation strategy has been implemented and its main features are discussed in detail. A logging tool has been created to supervise discrete events and assist in the results analyses. Furthermore, a custom simulation control panel helps to manage and to launch the simulation outside the Modelica environment. Luca Ferrarini, Juliano S. A. Carneiro, Simone Radaelli, Emanuele Ciapessoni |
ICRA | 2 |