A5022562853- Power Quality and Harmonics
- Advanced Electrical Measurement Techniques
- Blind Source Separation Techniques
- Energy Load and Power Forecasting
- Structural Health Monitoring Techniques
- Neural Networks and Applications
- Machine Fault Diagnosis Techniques
- Spectroscopy and Chemometric Analyses
- Power Transformer Diagnostics and Insulation
- Microgrid Control and Optimization
- Electromagnetic Compatibility and Noise Suppression
- Power System Optimization and Stability
- Smart Grid Security and Resilience
- Solar Radiation and Photovoltaics
- Power System Reliability and Maintenance
- Smart Grid Energy Management
- Islanding Detection in Power Systems
- Insect and Arachnid Ecology and Behavior
- Electrical Fault Detection and Protection
- Wind and Air Flow Studies
- Power Systems Fault Detection
- Wind Energy Research and Development
- Plant and animal studies
- Photovoltaic System Optimization Techniques
- Power Line Communications and Noise
Universidad de Cádiz
2016-2025
Redes Energéticas Nacionais (Portugal)
2023
Institute of Automation
2022
University of Antananarivo
2020
University of Córdoba
2006-2012
Cordoba University
2006
STMicroelectronics (France)
2004
STMicroelectronics (Czechia)
2004
In this paper an ARIMA model is used for time-series forecast involving wind speed measurements. Results are compared with the performance of a back propagation type NNT. show that better than NNT short time-intervals to (10 minutes, 1 hour, 2 hours and 4 hours). Data was acquired from unit located in Southern Andalusia (Pentildeaflor, Sevilla), soft orography minutes between measurements). This feature which makes very similar, so simple forecasting could be order administrate energy...
In this article, a systematic literature review of 153 articles on power quality analysis in PV systems published the last 20 years is presented. This provides readers with an overview PQ trends several fields related to instrumental techniques that are being used smart grid visualize energy, establishing solid base from which start future research. A preliminary appreciation allows us intuit higher-order statistics not implemented measurement equipment and traditional instrumentation still...
Variations of solar irradiance are known to have a significant influence on electric power generation by energy systems. With high connection densities PV system in the low voltage (LV) network, this might cause degrade quality. The present study describes multiplicative ARMA models generate instantaneous series global irradiation. data set used work corresponding five minutes were recorded radiometric station located south Spain (Cordoba) during for years period (1994-1997). development...
Present distribution networks have not been designed to accept extensive Distributed Generation (DG). The present framework may change in the near future impelled by a worldwide increase DG penetration grids. mutual dependency of energy and communications on same grid requires new means for effectively monitoring controlling both systems parallel. Relaying control IEDs can also serve as measurement units power quality. Synchronized Measurement Technology (SMT) has potential becoming backbone...
This paper presents a proof-of-concept of versatile Power Quality (PQ) analyser for tracking the voltage supply in industrial and residential sectors. It implements 2D Higher-Order Statistics (HOS) to assess quality, based more on sinusoidal waveform than power fluctuations. Beyond second-order parameters permissible deviations regulated by norm, EN 50160, two-dimensional traces probability density functions, along with previously studied differential index, manage identify different states...
ABSTRACT This letter presents a novel method for power quality event detection using higher‐order statistical indicators and rule‐based decision trees. The achieves up to 90% efficiency in the most challenging cases excels hybrid classification, increasingly common modern grids. Its simplicity enables fast execution real‐time applicability, making it robust complement traditional visualization tools.
Variations of solar irradiance are known to have a significant influence on electric power generation by energy systems. With high connection densities PV system in the low voltage (LV) network, this might cause degrade quality. The present study describes multiplicative ARMA models generate instantaneous series global irradiation. data set used work corresponding five minutes were recorded radiometric station located south Spain (Córdoba) during four years period (1994–1997). development...
In this work, a low-cost 45nm node platform for general purpose and low power applications based on conventional bulk approach is proposed. Performant Lg=30nm/45nm devices with SiON gate oxide, shallow junctions process induced strain are demonstrated. GP nFET/pFET feature I/sub on/= 820/spl mu/A//spl mu/m/340 /spl mu/m at off/ = 20nA//spl V/sub dd/=1.0V. RO features Tp < 10ps. LP 505 1240 0.1 nA//spl dd/= 1.2V. addition, high-voltage 50A/2.5V made to complete the CMOS platform.
Voltage dip analysis is a complex stochastic issue, since it involves large variety of random factors: type short-circuits in the power system, location faults, protective system performance and atmospheric discharges. Among all categories electrical disturbances, voltage (sag) momentary interruption are nemeses automated industrial process. The dynamic restorer (DVR) static series compensator (SSC) suitable for protecting plants against dip. This paper presents results about comparative...
In recent years, technological advancement characterized by heightened connectivity and digitization has revolutionized our interaction with the world. This evolution been exemplified emergence of Internet Things, which introduced a new era automation, primarily propelled devices based on ESP32 microcontroller. study seeks to comprehensively evaluate characterize fully functional sensor network built upon The evaluation covers three key aspects: performance, ESP32's built-in ADC peripheral,...
An independent components analysis algorithm is applied to extract vibratory signals generated by termites from background noise. Signals a microphone in uniform and Gaussian noise, were taken as sensor outputs. Bispectrum proposed higher-order statistic characterise time series. Experiments prove that detection characterisation can be performed successfully even with low signal-to-noise ratio signals.