.. Nahid-Al-Masood

Electrical and Electronic Engineering · 2021

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

Subfields

Whom .. Nahid-Al-Masood trusts overall

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

  1. Cheng-Ming Lee
  2. Kasun Amarasinghe
  3. Kyung-Bin Song

Papers from .. Nahid-Al-Masood's perspective

Ordered by how strongly the researchers .. Nahid-Al-Masood trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Energy Forecasting: A Review and Outlook (IEEE Open Access Journal of Power and Energy)
  2. Short-Term Load Forecasts Using LSTM Networks (Energy Procedia)
  3. Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches † (Energies)
  4. Deep neural networks for energy load forecasting (International Symposium on Industrial Electronics)
  5. Short-term load forecasting using lifting scheme and ARIMA models (Expert systems with applications)
  6. Short-term load forecasting for the holidays using fuzzy linear regression method (IEEE Transactions on Power Systems)
  7. Deep learning for estimating building energy consumption
  8. Building energy load forecasting using Deep Neural Networks (Annual Conference of the IEEE Industrial Electronics Society)
  9. Density Forecasting for Long-Term Peak Electricity Demand (IEEE Transactions on Power Systems)
  10. A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings (IEEE Communications Surveys and Tutorials)

Their papers