Smart grid stability prediction model using neural networks to handle missing inputs

HIGHLIGHTS

• who: Madiah Binti Omar et al. from the Department of Chemical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia have published the article: Smart Grid Stability Prediction Model Using Neural Networks to Handle Missing Inputs, in the Journal: Sensors 2022, 22, 4342. of /2022/
• what: In this section, an extensive literature survey is conducted on smart grid stability using neural_networks. This literature review shows that various neural-network-based techniques have been used for analysis, and the data analyzed in the works are with complete input data. In this paper four-node star network was selected . . .
  

   

  

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