Xiandong Ma

IEEE Transactions on Industrial Informatics · 2021

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

Papers from Xiandong Ma's perspective

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

  1. Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing (IEEE Transactions on Industrial Informatics)
  2. Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
  3. A hybrid deep learning-based neural network for 24-h ahead wind power forecasting (Applied Energy)
  4. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network (IEEE Transactions on Smart Grid)
  5. Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting
  6. Machine learning methods for solar radiation forecasting: A review
  7. A review of deep learning for renewable energy forecasting (Energy Conversion and Management)
  8. Gate-variants of Gated Recurrent Unit (GRU) neural networks
  9. Long Short-Term Memory
  10. Representation Learning: A Review and New Perspectives

Their papers