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IEEE Transactions on Power Systems
Article . 1992 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
Archivio Istituzionale della Ricerca - Politecnico di Bari
Article . 1992
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Parallel processing in power systems computation

Authors: Tylavsky D. J; Bose A; Alvarado F; Betancourt R; Clements K; Heydt G. T; Huang G; +7 Authors
Tylavsky D. J; Bose A; Alvarado F; Betancourt R; Clements K; Heydt G. T; Huang G; Ilic M; LA SCALA, Massimo; Pai M. A; Pottle A; Talukdar S; Van Ness J. S; Wu F.;
doi: 10.1109/59.141768
handle: 11589/8453
Abstract
The availability of parallel processing hardware and software presents an opportunity and a challenge to apply this new computation technology to solve power system problems. The allure of parallel processing is that this technology has the potential to be cost effectively used on computationally intense problems. The objective of this paper is to define the state of the art and identify what the authors see to be the most fertile grounds for future research in parallel processing as applied to power system computation. As always, such projections are risky in a fast changing field, but the authors hope that this paper will be useful to the researchers and practitioners in this growing area.
Country
Italy
Related Organizations
- Arizona State University United States
- Worcester Polytechnic Institute United States
- Polytechnic University of Bari Italy
- Worcester Polytechnic Institute United States
- The University of Texas System United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).164 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
164
Top 10%
Top 1%
Top 10%
Fields of Science (3) View all
Related to Research communities
Energy Research