Kafait Ullah

Electrical and Electronic Engineering · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kafait Ullah trusts overall

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

  1. James W. Taylor
  2. Nima Amjady
  3. G. Zhang
  4. Rehan Jamil

Papers from Kafait Ullah's perspective

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

  1. Short-term electricity demand forecasting using double seasonal exponential smoothing (Journal of the Operational Research Society)
  2. Short-Term Load Forecasting With Exponentially Weighted Methods (IEEE Transactions on Power Systems)
  3. A comparison of univariate methods for forecasting electricity demand up to a day ahead
  4. An evaluation of methods for very short-term load forecasting using minute-by-minute British data
  5. Neural networks for short-term load forecasting: a review and evaluation
  6. Short-term hourly load forecasting using time-series modeling with peak load estimation capability
  7. Consumer attitudes towards domestic solar power systems
  8. Barriers to renewable energy penetration; a framework for analysis
  9. Electric load forecasting using an artificial neural network
  10. Probabilistic electric load forecasting: A tutorial review

Their papers