[HTML][HTML] Challenges of Artificial Intelligence Development in the Context of Energy Consumption and Impact on Climate Change

S Pimenow, O Pimenowa, P Prus - Energies, 2024 - mdpi.com
With accelerating climate change and rising global energy consumption, the application of
artificial intelligence (AI) and machine learning (ML) has emerged as a crucial tool for …

[HTML][HTML] Wind turbine pitch reinforcement learning control improved by PID regulator and learning observer

JE Sierra-Garcia, M Santos, R Pandit - Engineering Applications of Artificial …, 2022 - Elsevier
Wind turbine (WT) pitch control is a challenging issue due to the non-linearities of the wind
device and its complex dynamics, the coupling of the variables and the uncertainty of the …

The edge application of machine learning techniques for fault diagnosis in electrical machines

J de Las Morenas, F Moya-Fernández… - Sensors, 2023 - mdpi.com
The advent of digitization has brought about new technologies that enable advanced
condition monitoring and fault diagnosis under the Industry 4.0 paradigm. While vibration …

Hybrid optimized fuzzy pitch controller of a floating wind turbine with fatigue analysis

C Serrano, JE Sierra-Garcia, M Santos - Journal of Marine Science and …, 2022 - mdpi.com
Floating offshore wind turbines (FOWTs) are systems with complex and highly nonlinear
dynamics; they are subjected to heavy loads, making control with classical strategies a …

Harmonics constrained approach to composite power system expansion planning with large-scale renewable energy sources

SL Gbadamosi, NI Nwulu, P Siano - Energies, 2022 - mdpi.com
Renewable energy sources (RES) are becoming more attractive due to the global demand
for the utilization of clean energy and their easy accessibility. The integration of renewable …

Mitigation of harmonics in a 6 kV and 650 kW motor

LB Corrales-Barrios, JC Fernández-Blanco… - Electrical …, 2024 - Springer
Motors that work with high voltage and consume a lot of power, specifically those of 6 kV and
650 kW, generate harmonics of voltage and current harmful to the electro-energy system …

Predictive Maintenance in Electrical Machines: An Edge Computing Approach

J De las Morenas… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
Predictive maintenance is one of the premises of the Industry 4.0. A condition monitoring
and fault diagnostic never seen before are possible with the new technologies embracing …

[PDF][PDF] Inter-harmonic parameter identification method based on transform with local maximum spectrum

L Sun, J Song, Y Jin - Archives of Electrical Engineering, 2022 - bibliotekanauki.pl
In order to improve the detection accuracy of harmonics/inter-harmonics in power systems, a
new method of harmonic/inter-harmonic detection based on synchrosqueezed transform …

[引用][C] Study of electric power quality indicators by simulating a hybrid generation system

F Grau Merconchini… - International …, 2023 - Institute of Advanced Engineering …