Evaluating the quality of scenarios of short-term wind power generation

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Evaluating the quality of scenarios of short-term wind power generation. / Pinson, Pierre; Girard, R.

In: Applied Energy, Vol. 96, 2012, p. 12-20.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Author

Pinson, Pierre; Girard, R. / Evaluating the quality of scenarios of short-term wind power generation.

In: Applied Energy, Vol. 96, 2012, p. 12-20.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Bibtex

@article{887cb650ba3d47c5872f3315a41344f2,
title = "Evaluating the quality of scenarios of short-term wind power generation",
keywords = "Diagnostic tools, Time trajectories, Renewable energy, Forecasting, Multivariate verication",
publisher = "Pergamon",
author = "Pierre Pinson and R. Girard",
year = "2012",
doi = "10.1016/j.apenergy.2011.11.004",
volume = "96",
pages = "12--20",
journal = "Applied Energy",
issn = "0306-2619",

}

RIS

TY - JOUR

T1 - Evaluating the quality of scenarios of short-term wind power generation

A1 - Pinson,Pierre

A1 - Girard,R.

AU - Pinson,Pierre

AU - Girard,R.

PB - Pergamon

PY - 2012

Y1 - 2012

N2 - Scenarios of short-term wind power generation are becoming increasingly popular as input to multi-stage decision-making problems e.g. multivariate stochastic optimization and stochastic programming. The quality of these scenarios is intuitively expected to substantially impact the benets from their use in decision-making. So far however, their verication is almost always focused on their marginal distributions for each individual lead time only, thus overlooking their temporal interdependence structure. The shortcomings of such an approach are discussed. Multivariate verication tools, as well as diagnostic approaches based on event-based verication are then presented. Their application to the evaluation of various sets of scenarios of short-term wind power generation demonstrates them as valuable discrimination tools.

AB - Scenarios of short-term wind power generation are becoming increasingly popular as input to multi-stage decision-making problems e.g. multivariate stochastic optimization and stochastic programming. The quality of these scenarios is intuitively expected to substantially impact the benets from their use in decision-making. So far however, their verication is almost always focused on their marginal distributions for each individual lead time only, thus overlooking their temporal interdependence structure. The shortcomings of such an approach are discussed. Multivariate verication tools, as well as diagnostic approaches based on event-based verication are then presented. Their application to the evaluation of various sets of scenarios of short-term wind power generation demonstrates them as valuable discrimination tools.

KW - Diagnostic tools

KW - Time trajectories

KW - Renewable energy

KW - Forecasting

KW - Multivariate verication

U2 - 10.1016/j.apenergy.2011.11.004

DO - 10.1016/j.apenergy.2011.11.004

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

VL - 96

SP - 12

EP - 20

ER -