Nathan Charlton

2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Nathan Charlton trusts overall

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

  1. Shu Fan
  2. Virginie Dordonnat
  3. Rob J Hyndman
  4. S. J. Koopman

Papers from Nathan Charlton's perspective

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

  1. Short-Term Load Forecasting Based on a Semi-Parametric Additive Model (IEEE Transactions on Power Systems)
  2. An Hourly Periodic State Space Model for Modelling French National Electricity Load
  3. Short-Term Load Forecasting Methods: An Evaluation Based on European Data (IEEE Transactions on Power Systems)
  4. Forecasting structural time series models and the kalman filter: Andrew Harvey, 1989, (Cambridge University Press), 554 pp., ISBN 0-521-32196-4
  5. Using weather ensemble predictions in electricity demand forecasting
  6. Bayesian Modeling and Forecasting of Intraday Electricity Load
  7. Generalized Additive Models
  8. A survey of cross-validation procedures for model selection
  9. Parsimonious Covariance Matrix Estimation for Longitudinal Data
  10. Probabilistic forecasts of the magnitude and timing of peak electricity demand (IEEE Transactions on Power Systems)

Their papers