Probabilistic Wind and Solar Power Predictions

Luca Delle Monache; Stefano Alessandrini

doi:10.1016/B978-0-12-407910-6.00012-0

Probabilistic Wind and Solar Power Predictions

Luca Delle Monache
, Stefano Alessandrini

National Center for Atmospheric Research

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

The added value of probabilistic wind and solar power predictions with respect to deterministic forecasting is demonstrated. A review of the current state-of-the-science approaches to generate probabilistic predictions and uncertainty quantification is provided, follow by an example of a comparison of probabilistic vs. deterministic estimates based on real data.

Original language	English
Title of host publication	Renewable Energy Integration
Subtitle of host publication	Practical Management of Variability, Uncertainty, and Flexibility in Power Grids
Publisher	Elsevier Inc.
Pages	149-158
Number of pages	10
ISBN (Electronic)	9780124081222
ISBN (Print)	9780124079106
DOIs	https://doi.org/10.1016/B978-0-12-407910-6.00012-0
State	Published - Jun 25 2014

Keywords

Probabilistic predictions
Uncertainty quantification
Wind and solar power predictions

Access to Document

10.1016/B978-0-12-407910-6.00012-0

Cite this

@inbook{8fbb11a3a68349c3a34fd70a7ebcbe95,

title = "Probabilistic Wind and Solar Power Predictions",

abstract = "The added value of probabilistic wind and solar power predictions with respect to deterministic forecasting is demonstrated. A review of the current state-of-the-science approaches to generate probabilistic predictions and uncertainty quantification is provided, follow by an example of a comparison of probabilistic vs. deterministic estimates based on real data.",

keywords = "Probabilistic predictions, Uncertainty quantification, Wind and solar power predictions",

author = "\{Delle Monache\}, Luca and Stefano Alessandrini",

year = "2014",

month = jun,

day = "25",

doi = "10.1016/B978-0-12-407910-6.00012-0",

language = "English",

isbn = "9780124079106",

pages = "149--158",

booktitle = "Renewable Energy Integration",

publisher = "Elsevier Inc.",

address = "United States",

}

TY - CHAP

T1 - Probabilistic Wind and Solar Power Predictions

AU - Delle Monache, Luca

AU - Alessandrini, Stefano

PY - 2014/6/25

Y1 - 2014/6/25

N2 - The added value of probabilistic wind and solar power predictions with respect to deterministic forecasting is demonstrated. A review of the current state-of-the-science approaches to generate probabilistic predictions and uncertainty quantification is provided, follow by an example of a comparison of probabilistic vs. deterministic estimates based on real data.

AB - The added value of probabilistic wind and solar power predictions with respect to deterministic forecasting is demonstrated. A review of the current state-of-the-science approaches to generate probabilistic predictions and uncertainty quantification is provided, follow by an example of a comparison of probabilistic vs. deterministic estimates based on real data.

KW - Probabilistic predictions

KW - Uncertainty quantification

KW - Wind and solar power predictions

UR - https://www.scopus.com/pages/publications/84942910694

U2 - 10.1016/B978-0-12-407910-6.00012-0

DO - 10.1016/B978-0-12-407910-6.00012-0

M3 - Chapter

AN - SCOPUS:84942910694

SN - 9780124079106

SP - 149

EP - 158

BT - Renewable Energy Integration

PB - Elsevier Inc.

ER -

Probabilistic Wind and Solar Power Predictions

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this