Laura Cavalcante

Electrical and Electronic Engineering · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 10 citations into it
• Artificial Intelligence — 5 citations into it

Whom Laura Cavalcante trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Bremnes
2. Hans Hersbach
3. Trevor J. Hastie

Papers from Laura Cavalcante's perspective

Ordered by how strongly the researchers Laura Cavalcante trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Quantiles
2. Generalized Additive Models
3. Nonparametric Quantile Estimation
4. Global Energy Forecasting Competition 2012
5. Probabilistic wind power forecasts using local quantile regression
6. Online learning with kernels
7. From probabilistic forecasts to statistical scenarios of short-term wind power production
8. kernlab - An S4 Package for Kernel Methods in R
9. The State-Of-The-Art in Short-Term Prediction of Wind Power. A Literature Overview
10. Wind Power Trading Under Uncertainty in LMP Markets (IEEE Transactions on Power Systems)

Their papers

• On-line quantile regression in the RKHS (Reproducing Kernel Hilbert Space) for operational probabilistic forecasting of wind power (2016) — 50 citations