R. Escobar

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom R. Escobar trusts overall

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

  1. Gang Chen
  2. Pierre Ineichen
  3. D. Cahill
  4. Christian A. Gueymard

Who trusts R. Escobar overall

  1. S. Feliu

Papers from R. Escobar's perspective

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

  1. Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
  2. A new airmass independent formulation for the Linke turbidity coefficient
  3. Comparison of eight clear sky broadband models against 16 independent data banks
  4. On the clear sky model of the ESRA — European Solar Radiation Atlas — with respect to the heliosat method
  5. Online short-term solar power forecasting
  6. Online 24-h solar power forecasting based on weather type classification using artificial neural network
  7. Nanoscale thermal transport (Journal of Applied Physics)
  8. Wind Power Trading Under Uncertainty in LMP Markets (IEEE Transactions on Power Systems)
  9. Ensemble methods for wind and solar power forecasting—A state-of-the-art review
  10. Short-term solar power prediction using a support vector machine

Their papers