A load forecasting algorithm for power internet of things using training data dimension expansion and ensemble learning technique

HIGHLIGHTS

• who: Chang Liu and colleagues from the State Grid Hubei Electric Power Research Institute, Wuhan, China have published the research work: A Load Forecasting Algorithm for Power Internet of Things Using Training Data Dimension Expansion and Ensemble Learning Technique, in the Journal: Journal of Sensors of 20/06/2022
• what: In this paper a new loading forecasting algorithm for power IOT is proposed using training data dimension expansion and ensemble learning. The contributions of this paper can be summarized as follows: A deep learning-based load forecasting algorithm is proposed by LSTM. In the paper . . .
  

   

  

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