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Monitoring performance of hydroelectric power plants

Authors: Vaz, Clara B.; Ferreira, Ângela P.;

Monitoring performance of hydroelectric power plants

Abstract

This study develops a methodology to provide insights regarding the efficiency and productivity of the hydroelectric power plants of an European player in the energy sector throughout the operation stage. DEA is used to measure the efficiency of utilities in generating electrical energy from the resources available and exogenous variables. This analysis enables the identification of the best practices of power plants which lead to improved performance. The Malmquist index, complemented with bootstrapping, is used to measure the changes in plants productivity between in the last years.

Country
Portugal
Related Organizations
Keywords

DEA, Hydroelectric power plants

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green