Machine learning methods in smart lighting toward achieving user comfort: a survey

AG Putrada, M Abdurohman, D Perdana… - IEEE access, 2022 - ieeexplore.ieee.org
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

Review of fundamental active current extraction techniques for SAPF

J Baros, V Sotola, P Bilik, R Martinek, R Jaros, L Danys… - Sensors, 2022 - mdpi.com
The field of advanced digital signal processing methods is one of the fastest developing
scientific and technical disciplines, and is important in the field of Shunt Active Power Filter …

Sensor effects in LCL-type grid-connected shunt active filters control using higher-order sliding mode control techniques

MAE Alali, YB Shtessel, JP Barbot, S Di Gennaro - Sensors, 2022 - mdpi.com
The effects of measuring devices/sensors on improving the power quality (PQ) of electric
networks are studied in this paper. In this context, improving the performance of an LCL-type …

Analysis of factors affecting electric power quality: PLS-SEM and deep learning neural network analysis

ML Duc, P Bilik, R Martinek - IEEE Access, 2023 - ieeexplore.ieee.org
The world today is increasingly dependent directly or indirectly on the power system.
Ensuring the quality of power supplied to electrical equipment is essential. The national …

Predictive adaptive filter for reducing total harmonics distortion in PV systems

L Alhafadhi, J Teh, CM Lai, M Salem - Energies, 2020 - mdpi.com
This paper presents a new method for reducing the total harmonic distortion (THD) of
photovoltaic (PV) systems by using an adaptive filter based on a predictive model. Instead of …

Optimal design and control of MMC STATCOM for improving power quality indicators

AAZ Diab, T Ebraheem, R Aljendy, HM Sultan, ZM Ali - Applied Sciences, 2020 - mdpi.com
In recent years, modular multilevel converters (MMC) are becoming popular in the
distribution and transmission of electrical systems. The multilevel converter suffers from …

Application of fuzzy TOPSIS and harmonic mitigation measurement on lean six sigma: A case study in smart factory

ML Duc, J Nedoma, P Bilik, R Martinek, L Hlavaty… - IEEE …, 2023 - ieeexplore.ieee.org
Customers' requirements for product quality are increasing and more and more
manufacturing companies are improving the quality of processing conditions at each …

Harmonics signal feature extraction techniques: A review

ML Duc, P Bilik, R Martinek - Mathematics, 2023 - mdpi.com
Harmonic estimation is essential for mitigating or suppressing harmonic distortions in power
systems. The most important idea is that spectrum analysis, waveform estimation, harmonic …

Smart metering systems optimization for non-technical losses reduction and consumption recording operation improvement in electricity sector

I Vlasa, A Gligor, CD Dumitru, LB Iantovics - Sensors, 2020 - mdpi.com
One of the keys of enhancing the quality of electric power supply resides in the accuracy of
the consumption metering. Nowadays development of the sensors, devices and systems for …

Design and Implement Low-Cost Industry 4.0 System Using Hybrid Six Sigma Methodology for CNC Manufacturing Process

ML Duc, L Hlavaty, P Bilik, R Martinek - IEEE Access, 2023 - ieeexplore.ieee.org
The mechanical components manufacturing industry is carried out through turning
processes using CNC machines. Improving productivity and improving product quality in the …