Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Methodology

Adequate reserves are urgently needed to hedge against wind power forecasting uncertainties in power systems. Traditional reserve quantification sequentially acquires statistical features of wind power and then determines reserve amounts. This paper establishes a novel integrated probabilistic forec...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on power systems Ročník 36; číslo 4; s. 3701 - 3714
Hlavní autoři:	Zhao, Changfei, Wan, Can, Song, Yonghua
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks Confidence intervals Cost function Forecasting Integer programming Intervals Linear programming Machine learning Mathematical models Mixed integer Mixed integer linear programming Operating costs Operating reserve prediction interval probabilistic forecasting Probabilistic logic Reserves Statistical analysis Stochastic processes Uncertainty Wind forecasting Wind power Wind power generation
ISSN:	0885-8950, 1558-0679
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!