Inesc Porto

Electrical and Electronic Engineering · 2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 24 citations into it
• Artificial Intelligence — 5 citations into it
• Environmental Engineering — 5 citations into it

Whom Inesc Porto trusts overall

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

1. J. Bremnes

Papers from Inesc Porto's perspective

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

1. Random Forests
2. Neural Networks for Pattern Recognition
3. The Nature of Statistical Learning Theory
4. Regression Quantiles
5. Stochastic gradient boosting
6. A comparison of a few statistical models for making quantile wind power forecasts
7. The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
8. Stochastic security for operations planning with significant wind power generation (IEEE Power & Energy Society General Meeting)
9. Deterministic nonperiodic flow
10. Optimal response of a thermal unit to an electricity spot market

Their papers

• Wind power forecasting : state-of-the-art 2009. (2009) — 334 citations