✦ LIBER ✦

Probabilistic load flow with non-gaussian correlated random variables using gaussian mixture models

✍ Scribed by Valverde, G.; Saric, A.T.; Terzija, V.

Book ID: 117811777
Publisher: The Institution of Engineering and Technology
Year: 2012
Tongue: English
Weight: 188 KB
Volume: 6
Category: Article
ISSN: 1751-8687
DOI: 10.1049/iet-gtd.2011.0545

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Limit distributions of scale-invariant p

Limit distributions of scale-invariant probabilistic models of correlated random variables with the q-Gaussian as an explicit example

✍ R. Hanel; S. Thurner; C. Tsallis 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 206 KB

On using non-linear canonical correlatio

On using non-linear canonical correlation analysis for voice conversion based on Gaussian mixture model

✍ Zhihua Jian; Zhen Yang 📂 Article 📅 2010 🏛 SP Science Press 🌐 English ⚖ 224 KB

q-Gaussian approximants mimic non-extens

q-Gaussian approximants mimic non-extensive statistical-mechanical expectation for many-body probabilistic model with long-range correlations

✍ Thistleton, William ;Marsh, John ;Nelson, Kenric ;Tsallis, Constantino 📂 Article 📅 2009 🏛 Walter de Gruyter GmbH 🌐 English ⚖ 953 KB

q-Gaussian approximants mimic non-extens

q-Gaussian approximants mimic non-extensive statistical-mechanical expectation for many-body probabilistic model with long-range correlations

✍ Thistleton, William ;Marsh, John ;Nelson, Kenric ;Tsallis, Constantino 📂 Article 📅 2009 🏛 Walter de Gruyter GmbH 🌐 English ⚖ 953 KB

We study a strictly scale-invariant probabilistic N-body model with symmetric, uniform, identically distributed random variables. Correlations are induced through a transformation of a multivariate Gaussian distribution with covariance matrix decaying out from the unit diagonal, as ρ/r α for r =1, 2

Online quality prediction of nonlinear a

Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach

✍ Jie Yu 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 723 KB