2019 journal article

Robust Regression Models for Load Forecasting

IEEE Transactions on Smart Grid, 10(5), 5397–5404.

By: J. Luo*, T. Hong* & S. Fang n

author keywords: Cybersecurity; data integrity attack; electric load forecasting; iteratively re-weighted least squares; L-1 regression; robust regression
TL;DR: Numerical experiments indicate the dominating performance of the three proposed robust regression models, especially <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex- math></inline- formula> regression, compared to other representative load forecasting models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: September 16, 2019

2018 journal article

A proximal quadratic surface support vector machine for semi-supervised binary classification

Soft Computing, 22(20), 6905–6919.

By: X. Yan*, Y. Bai*, S. Fang n & J. Luo*

author keywords: Semi-supervised classification; Proximal support vector machine; Kernel-free; Quadratic surface; Alternating direction method
TL;DR: Preliminary results indicate that the proposed proximal quadratic surface support vector machine model outperforms some well-known methods for semi-supervised classification in terms of the efficiency and classifying accuracy. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: October 16, 2018

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