[PDF][PDF] Applied Mathematics and Nonlinear Sciences
L Jiang - Applied Mathematics and Nonlinear Sciences, 2024 - sciendo.com
The purpose of this paper is to explore the effective monitoring and countermeasures of low-
altitude UAVs through multisensor coordination so as to escort the sustainable development …
altitude UAVs through multisensor coordination so as to escort the sustainable development …
Optimizing Fault Identification in Power Distribution Systems by the Combination of SVM and Deep Learning Models
G Tiwari, S Saini - Journal of Operation and Automation in Power …, 2024 - joape.uma.ac.ir
Maintaining electrical grid stability and reliability requires the rapid diagnosis and
classification of faults in power distribution systems. This study presents a hybrid model that …
classification of faults in power distribution systems. This study presents a hybrid model that …
Perfomance comparison of Machine Learning (ML) based fault detection scheme for a compensated transmission line
Compensated transmission lines are employed in power system networks to increase
energy transmission capacity, improve system stability, decrease transmission losses, and …
energy transmission capacity, improve system stability, decrease transmission losses, and …
Multivariable predictive models for the estimation of power consumption (kW) of a Semi-autogenous mill applying Machine Learning algorithms [Modelos predictivos …
MAV Ruiz, JAV Gonzales… - Journal of Energy & …, 2024 - journals.cincader.org
This research aimed to develop machine learning (ML) models to estimate power
consumption (Kw) in a Semi-autogenous mill in the mining industry. Using Machine …
consumption (Kw) in a Semi-autogenous mill in the mining industry. Using Machine …