Mohammed A. Alghassab

Electrical and Electronic Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammed A. Alghassab 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
  5. Tao Hong
  6. L. Suganthi
  7. Zafer Dilaver
  8. Bo-Juen Chen
  9. A. Hussain
  10. N. A. Jalil

Papers from Mohammed A. Alghassab's perspective

Ordered by how strongly the researchers Mohammed A. Alghassab 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. Electric load forecasting using an artificial neural network
  8. Probabilistic electric load forecasting: A tutorial review
  9. Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001
  10. Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India

Their papers