Pelella, F.; Viscito, L.; Magnea, F.; Zanella, A.; Patalano, S.; Mauro, A.W.; Bianco, N.
Comparison between Physics-Based Approaches and Neural Networks for the Energy Consumption Optimization of an Automotive Production Industrial Process. Energies 2023, 16, 6916.
https://doi.org/10.3390/en16196916
AMA Style
Pelella F, Viscito L, Magnea F, Zanella A, Patalano S, Mauro AW, Bianco N.
Comparison between Physics-Based Approaches and Neural Networks for the Energy Consumption Optimization of an Automotive Production Industrial Process. Energies. 2023; 16(19):6916.
https://doi.org/10.3390/en16196916
Chicago/Turabian Style
Pelella, Francesco, Luca Viscito, Federico Magnea, Alessandro Zanella, Stanislao Patalano, Alfonso William Mauro, and Nicola Bianco.
2023. "Comparison between Physics-Based Approaches and Neural Networks for the Energy Consumption Optimization of an Automotive Production Industrial Process" Energies 16, no. 19: 6916.
https://doi.org/10.3390/en16196916
APA Style
Pelella, F., Viscito, L., Magnea, F., Zanella, A., Patalano, S., Mauro, A. W., & Bianco, N.
(2023). Comparison between Physics-Based Approaches and Neural Networks for the Energy Consumption Optimization of an Automotive Production Industrial Process. Energies, 16(19), 6916.
https://doi.org/10.3390/en16196916
