Zafar Ali Khan

Electrical and Electronic Engineering · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zafar Ali Khan trusts overall

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

  1. James W. Taylor

Papers from Zafar Ali Khan's perspective

Ordered by how strongly the researchers Zafar Ali Khan 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. Short-term hourly load forecasting using time-series modeling with peak load estimation capability
  6. Electric load forecasting using an artificial neural network
  7. Probabilistic electric load forecasting: A tutorial review
  8. Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001
  9. A review of energy models
  10. Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5

Their papers