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Richard J. Kafka

dblp:322/3426 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

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

Applied, 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%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids › power system operation
power system restoration		 0.011992
Knowledge-Based systems as operational aids in power system restoration · Proc. IEEE 1992
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge-based systems		 0.011992
Knowledge-Based systems as operational aids in power system restoration · Proc. IEEE 1992

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

knowledge-based system · 0.0
YearPublicationVenuePosition
1992 Knowledge-Based systems as operational aids in power system restoration
abstract
The background of power system restoration is analyzed and how this process might benefit from the use of knowledge-based systems is discussed. After describing the state of the art of knowledge-based systems for power system restoration, efforts are made to review knowledge-based techniques to handle system restoration problems. The experiences of system development are reported and evaluation of the systems is addressed. Some needed technological innovations are listed that are required before knowledge-based systems can extensively be applied to power system restoration.>
Keinosuke Matsumoto, Toshiaki Sakaguchi, Richard J. Kafka, Mike M. Adibi
 Proc. IEEE3