Can Wan

Electrical and Electronic Engineering · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Can Wan trusts overall

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

  1. G. Huang
  2. J. Bremnes
  3. Gordon Reikard
  4. A. Nizar
  5. Richard Perez
  6. Henrik Madsen
  7. Pierre Pinson
  8. Kurt Hornik
  9. Andreas S. Weigend
  10. A. Coonick

Who trusts Can Wan overall

  1. Mohamed Abdel-Nasser
  2. Mohammad Safayet Hossain
  3. Zhao Wang
  4. Shahaboddin Shamshirband
  5. Karar Mahmoud
  6. Hisham Mahmood
  7. Priya Lekha Donti

Papers from Can Wan's perspective

Ordered by how strongly the researchers Can Wan 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. Extreme learning machine: Theory and applications
  3. Validation of short and medium term operational solar radiation forecasts in the US
  4. Multilayer feedforward networks are universal approximators
  5. Neural Networks for Pattern Recognition
  6. Extreme Learning Machine for Regression and Multiclass Classification
  7. Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method (IEEE Transactions on Power Systems)
  8. Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models
  9. Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques
  10. The State-Of-The-Art in Short-Term Prediction of Wind Power. A Literature Overview

Their papers