Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks. - Jecinta Mulongo; Marcellin Atemkeng; Theophilus Ansah-Narh; Rockefeller Rockefeller; Gabin Maxime Nguegnang; Marco Andrea Garuti (Appl. Artif. Intell., 2020)

Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks. - Gabin Maxime Nguegnang; Marcellin Atemkeng; Theophilus Ansah-Narh; Rockefeller Rockefeller; Jecinta Mulongo; Marco Andrea Garuti (CoRR, 2022)

Wind Power Prediction with HCNNs for Turbines. - Rockefeller Rockefeller; Bubacarr Bah; Hans-Georg Zimmermann; Vukosi Marivate (ICECET, 2023)

Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants. - Marcellin Atemkeng; Victor Osanyindoro; Rockefeller Rockefeller; Sisipho Hamlomo; Jecinta Mulongo; Theophilus Ansah-Narh; Franklin Tchakounté; Arnaud Nguembang Fadja (CoRR, 2023)

Ensemble learning and deep learning-based defect detection in power generation plants. - Marcellin Atemkeng; Victor Osanyindoro; Rockefeller Rockefeller; Sisipho Hamlomo; Jecinta Mulongo; Theophilus Ansah-Narh; Franklin Tchakounté; Arnaud Nguembang Fadja (J. Intell. Syst., 2024)

Bootstrap prediction intervals for the long short term memory (LSTM) recurrent neural network. - Josué Nguinabé; Rockefeller Rockefeller; Naushad Mamode Khan; Paulo Canas Rodrigues (Expert Syst. Appl., 2025)