NPIL, a latent tensor factorization model that rewrites the SGD error with a nonlinear PID controller and PSO-tuned gains, recovers missing smart-meter readings faster and more accurately than five comparison models on iAWE and UK-DALE.
Proportional-integral-derivative-incorporated latent factorization of tensors for large-scale dynamic network analysis,
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Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring
NPIL, a latent tensor factorization model that rewrites the SGD error with a nonlinear PID controller and PSO-tuned gains, recovers missing smart-meter readings faster and more accurately than five comparison models on iAWE and UK-DALE.