Name
Abstract | ||
|---|---|---|
A genetic algorithms and fuzzy programming methodology can help determine the minimum number of meters (and their location) needed to monitor voltage sags and swells in power networks. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/MIS.2011.2 | IEEE Intelligent Systems |
Keywords | Field | DocType |
genetic algorithms,fuzzy programming,genetic algorithm,monitor voltage sags,power network,minimum number,voltage sag,fuzzy programming methodology,redundancy,fuzzy set theory,convergence,resource manager,resource management,power transmission lines,intelligent systems | Data mining,Electrical network,Intelligent decision support system,Evolutionary algorithm,Computer science,Voltage,Real-time computing,Fuzzy set,Electric power transmission,Redundancy (engineering),Genetic algorithm | Journal |
Volume | Issue | ISSN |
26 | 2 | 1541-1672 |
Citations | PageRank | References |
6 | 1.10 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Almeida | 1 | 6 | 1.10 |
| Nelson Kagan | 2 | 15 | 3.47 |