Please find as follows our news from the Ingenium account on Linkedin and X:
New publication from @IngeniumRG on optimizing solar PV systems. Our work uses a Teaching Learning-Based algorithm with neural networks to predict maximum power points more accurately, boosting renewable energy efficiency. https://www.sciencedirect.com/science/chapter/edited-volume/abs/pii/B9780443247224000045?via%3Dihub @faustospain
@ingenium_rg publishes new paper on fault detection in induction motors. Our study combines Wavelet Transform & Artificial Neural Networks, achieving 96% accuracy in predicting stator faults.
#Engineering #FaultDetection #AI #Ingenium @faustospain
"An Estimation of Degradation Parameters for Components of Floating Wind Turbines" is out on @SpringerNature .
We model how key floating wind components degrade in harsh marine conditions using Gamma processes&Ridge regression.
@faustospain
Ingenium new paper in Energy Eng: EV charging via UPFC in SMIB system. LQR controller damps oscillations—reduces rise/settling time & overshoot. Critical as EV integration grows.
https://www.techscience.com/energy/online/detail/25708
#PowerSystems #EV #UPFC #LQR #Ingenium #UCLM
@faustospain @Isaac_Segovia_
