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A. Garry Wacker

dblp:58/2147 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1989
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids › power system planning and operation
power system reliability
0.011989
Customer cost of electric service interruptions · Proc. IEEE 1989

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

survey · 0.0composite customer damage function · 0.0
YearPublicationVenuePosition
1989 Customer cost of electric service interruptions
abstract
An approach often used to estimate power-system reliability worth is to determine consumers' monetary losses resulting from service interruptions, i.e. the cost of unreliability. Previously, studies have been conducted to provide estimates of customer interruption costs, and a wide range of methodologies has evolved. There is no universal agreement on the appropriateness of methodologies to particular situations nor on the interpretation of the results obtained, but some appear to be more acceptable and useful to the industry than others. A survey is presented of the techniques available for estimating customer interruption costs, the rationale of those that are currently popular is discussed, and the application of such cost data in creating a composite customer damage function is explored.>
A. Garry Wacker, Roy Billinton
Proc. IEEE1
1984 Average classification accuracy over collections of gaussian problems - common covariance matrix case
A. Garry Wacker, Talaat S. El-Sheikh
Pattern Recognit.1