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Edson Luiz da Silva

dblp:69/3208 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 67% High-performance computing · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel computing
0.012003
Parallel Processing Applied to the Planning of Hydrothermal Systems · IEEE Trans. Parallel Distributed Syst. 2003
Parallel and multicore computing › parallel computing
parallel optimization
0.012003
Parallel Processing Applied to the Planning of Hydrothermal Systems · IEEE Trans. Parallel Distributed Syst. 2003
High-performance computing
scientific computing systems
0.012003
Parallel Processing Applied to the Planning of Hydrothermal Systems · IEEE Trans. Parallel Distributed Syst. 2003

Methods — techniques the papers use, named apart from their topics

parallel processing algorithm · 0.1
YearPublicationVenuePosition
2003 Parallel Processing Applied to the Planning of Hydrothermal Systems
abstract
The objective of the long-term operating planning problem is to determine the optimum strategy for the generation of electricity, aiming toward the minimization of total operating cost over the planning period. In a competitive electricity market, with the participation of a significant number of hydroplants, such as in Brazil, precision modelling for operating planning is required so that a better use of hydraulic resources can be obtained. We present a long-term operating planning model based on an individual power plant representation. In order to support the high computational burden, a suitable parallel processing algorithm is proposed.
Edson Luiz da Silva, Erlon Cristian Finardi
IEEE Trans. Parallel Distributed Syst.1