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Application of data mining techniques to identify structural congestion problems under uncertainty
Authors: Santiago Bañales; Eugenio F. Sánchez-Úbeda; J. Peco; Tomás Gómez; P. Raymont; A.L. Hernandez;
Abstract
This paper proposes a novel methodology to identify congestion problems under both "traditional" and "new" uncertainties such as generation costs, location and size of new generators, retirement of old ones, generation patterns, etc. The methodology allows not only identifying the transmission paths and corridors which will have congestion problems, but also the scenarios producing these critical situations. Thus, it can be used not only to simplify the study of new investments (reinforcement of existing lines), but also to facilitate the evaluation of hedging strategies and the design of proactive policies to avoid the detected congestion.
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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).4 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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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.
4
Average
Average
Average