Demo Data from EDBT 2026 / reviewers in the wild / expert
Antonio de la Villa Jaen
dblp:20/11470
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0001-6934-1004ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 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% |
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 monitoring
power system state estimation |
0.1 | 1 | 2011 | A Multilevel State Estimation Paradigm for Smart Grids · Proc. IEEE 2011 |
Energy systems and smart grids › power system monitoring
wide-area monitoring |
0.0 | 1 | 2011 | A Multilevel State Estimation Paradigm for Smart Grids · Proc. IEEE 2011 |
Methods — techniques the papers use, named apart from their topics
hierarchical estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | A Multilevel State Estimation Paradigm for Smart GridsabstractThe main objective of this paper is to describe a multilevel framework that facilitates seamless integration of existing state estimators (SEs) that are designed to function at different levels of modeling hierarchy in order to accomplish very large-scale monitoring of interconnected power systems. This has been a major challenge for decades as power systems grew pretty much independently in different areas, which had to operate in an interconnected and synchronized fashion. The paper initially provides a brief historical perspective which also explains the existing state estimation paradigm. This is followed by a review of the recent technological and regulatory drivers that are responsible for the new developments in the energy management functions. The paper then shows that a common theoretical framework can be used to implement a hierarchical scheme by which even very large-scale power systems can be efficiently and accurately monitored. This is illustrated for substation level, transmission system level as well as for a level between different transmission system operators in a given power system. Finally, the paper describes the use and benefits of phasor measurements when incorporated at these different levels of the proposed infrastructure. Numerical examples are included to illustrate performance of the proposed multilevel schemes. Antonio Gómez Expósito, Ali Abur, Antonio de la Villa Jaen, Catalina Gomez-Quiles |
Proc. IEEE | 3 |
| 2007 | Ga-based passive loop optimization for magnetic field mitigation of transmission lines
Pedro Cruz 0004, Jesús Manuel Riquelme-Santos, Antonio de la Villa Jaen, José L. Martínez |
Neurocomputing | 3 |