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20222026
most citedLabel Assisted Autoencoder for Anomaly Detection in Power Generation Plants

2 citations · 3 across the 3 of their papers we have counts for

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cs.LG2022★ 1 cited

Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks

Gabin Maxime Nguegnang, Marcellin Atemkeng, Theophilus Ansah-Narh +2

The instability of power generation from national grids has led industries (e.g., telecommunication) to rely on plant generators to run their businesses. However, these secondary g…