Demo Data from EDBT 2026 / reviewers in the wild / expert
A. Garry Wacker
dblp:58/2147
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids › power system planning and operation
power system reliability |
0.0 | 1 | 1989 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Customer cost of electric service interruptionsabstractAn 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. IEEE | 1 |
| 1984 | Average classification accuracy over collections of gaussian problems - common covariance matrix case
A. Garry Wacker, Talaat S. El-Sheikh |
Pattern Recognit. | 1 |