Short-term load forecasting based on spiking neural p systems

HIGHLIGHTS

• who: Lin Li and collaborators from the School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, China have published the paper: Short-Term Load Forecasting Based on Spiking Neural P Systems, in the Journal: (JOURNAL)
• what: The authors propose a variant of NSNP systems, which is inspired from the nonlinear spiking mechanism of biological neurons. (3) Based on the NSNP neuron model, the authors develop a prediction model for short-term load forecasting, called the LF-NSNP model.
• how: The LF-NSNP model can be implemented in the RNN framework due to . . .
  

   

  

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