A5013855196- Multilevel Inverters and Converters
- Microgrid Control and Optimization
- Advanced DC-DC Converters
- Photovoltaic System Optimization Techniques
- Fault Detection and Control Systems
- Energy Load and Power Forecasting
- Silicon Carbide Semiconductor Technologies
- Solar Radiation and Photovoltaics
- Financial Markets and Investment Strategies
- Machine Fault Diagnosis Techniques
- Frequency Control in Power Systems
- Advanced Battery Technologies Research
- Robotics and Sensor-Based Localization
- Stock Market Forecasting Methods
- Drug Transport and Resistance Mechanisms
- Power Systems and Renewable Energy
- Power System Reliability and Maintenance
- Power Transformer Diagnostics and Insulation
- Wind Turbine Control Systems
- Sensorless Control of Electric Motors
- HVDC Systems and Fault Protection
- ECG Monitoring and Analysis
- Islanding Detection in Power Systems
- Diabetes Treatment and Management
- Pancreatic function and diabetes
Kuwait College of Science and Technology
2018-2025
Delft University of Technology
2024
Nokia (United States)
2023
Aix-Marseille Université
2019-2022
Laboratoire d’Informatique et Systèmes
2019-2022
École Nationale Supérieure Maritime
2019-2022
Qatar Foundation
2016-2021
University of Sousse
2011-2021
Texas A&M University at Qatar
2015-2020
Institut Pasteur de Lille
2016-2020
Bile acids are signalling molecules, which activate the transmembrane receptor TGR5 and nuclear FXR. BA sequestrants (BAS) complex bile in intestinal lumen decrease FXR activity. The BAS–BA also induces glucagon-like peptide-1 (GLP-1) production by L cells potentiates β-cell glucose-induced insulin secretion. Whether is expressed controls GLP-1 unknown. Here, we show that activation decreases proglucagon expression interfering with glucose-responsive factor Carbohydrate-Responsive Element...
Having a reduced number of switches and isolated DC sources yet generating higher voltage levels has been always the challenge when selecting appropriate Multilevel Inverter (MLI) topology. Nowadays, Single-DC-Source (SDCS-MLI) topologies are being considered as more suitable for many power system applications such Renewable Energy (RE) conversion systems electrified transportations compared to Multiple-DC-Source MLIs (MDCS-MLIs). Moreover, increasing rating minimizing switching frequency...
Model-predictive control (MPC) has emerged as a promising method in power electronics, particularly for multiobjective problems such multilevel inverter (MLI) applications. Over the past two decades, improving performance of MPC and tackling its technical challenges, computational load, modeling accuracy, cost function design, weighting factor selection, have attracted great interest electronics. This article aims to discuss current state strategies MLI applications, describing significance...
This paper presents a finite-control-set model predictive control (FCS-MPC) for grid-tied packed U cells (PUC) multilevel inverter (MLI). The system under study consists of single-phase 3-cells PUC connected to the grid through filtering inductor. proposed competitive topology allows generation 7-level output voltage with reduction passive and active components compared conventional MLIs. aim FCS-MPC technique is achieve, various operating conditions, current injection unity power factor low...
Modular multilevel converter (MMC) is a promising new topology for high-voltage applications. The MMC made of several identical submodules. For proper operation, each submodule can be considered as controlled voltage source where capacitor's should maintained at certain level. Besides, the minimization circulating current, which does not flow to load, crucial achieving stable and efficient operation MMC. interrelations among load capacitor voltages complicate control. This paper aims achieve...
This paper presents finite-control-set model-predictive control (FCS-MPC) for a three-phase quasi-Zsource (qZS) four-leg inverter under unbalanced load condition. The key novelty of the proposed approach is eliminating double-line frequency ripple in inductor current with simple and effective approach. qZS an output LC filter can handle buck/boost dc/ac conversion features single stage. Furthermore, FCS-MPC-based algorithm helps maintaining balanced point common coupling voltages stand-alone...
This paper proposes an effective Photovoltaic (PV) Power Forecasting (PVPF) technique based on hierarchical learning combining Nonlinear Auto-Regressive Neural Networks with exogenous input (NARXNN) Long Short-Term Memory (LSTM) model. First, the NARXNN model acquires data to generate a residual error vector. Then, stacked LSTM model, optimized by Tabu search algorithm, uses correction associated original produce point and interval PVPF. The performance of proposed PVPF was investigated...
The random forest (RF) classifier, which is a combination of tree predictors, one the most powerful classification algorithms that has been recently applied for fault detection and diagnosis (FDD) industrial processes. However, RF still suffering from some limitations such as noncorrelation between variables. These are due to direct use variables measured at nodes therefore only static information process data. Thus, this article proposes two enhanced classifiers, namely Euclidean distance...
Random Forest (RF) is one of the mostly used machine learning techniques in fault detection and diagnosis industrial systems. However, its implementation suffers from certain drawbacks when considering correlations between variables. In addition, to perform a diagnosis, classical RF only uses raw data by direct use measured The could yield poor performance due redundancies noises. Thus, this paper proposes four improved methods overcome above-mentioned limitations. developed aim reduce at...
Abstract The gut microbiota participates in the control of energy homeostasis partly through fermentation dietary fibers hence producing short-chain fatty acids (SCFAs), which turn promote secretion incretin Glucagon-Like Peptide-1 (GLP-1) by binding to SCFA receptors FFAR2 and FFAR3 on enteroendocrine L-cells. We have previously shown that activation nuclear Farnesoid X Receptor (FXR) decreases L-cell response glucose. Here, we investigated whether FXR also regulates SCFA-induced GLP-1...
This paper proposes an effective sliding mode controller (SMC) for a grid-connected 7-level packed U-cell (PUC7) inverter. The aim is to design simple that deals effectively with the complex control problem of PUC7 inverter (multiobjective problem). selection actions achieved according system state error at every sampling time, regardless previous values, which makes technique model-independent. algorithm evaluates online two cost functions (one each error), are derived on basis theory, and...
Multilevel converters (MLCs) are widely recognized for their exceptional benefits and have emerged as the preferred choice medium- high-power/voltage applications. Their usage has also been extended to low-power applications overcome issues associated with high switching frequencies electromagnetic interference (EMI) commonly encountered in two-level converters. Common dc-link MLCs received particular attention industry due ability eliminate need bulky inefficient transformers rectifiers,...
This paper presents an adaptive observer (AO)-based model predictive control (MPC) for a multilevel flying capacitors inverter (FCI). The proposed system consists of midpoint dc-link three-cell four-level FCI feeding RL load. Using the actual load current, AO estimates accurately capacitors' voltages, which are fed to MPC algorithm by means hybrid considering both discrete and continuous variables. For real-time constraints, sufficient conditions given guarantee practical stability AO-based...
This article proposes a Lyapunov-based model predictive control (MPC) design for dual output multilevel rectifier. The investigated topology, seven-level packed U-cell (PUC7) converter, is selected based on its high reliability, compactness, and low cost. proposed controller has the following advantages over conventional MPC controllers: First, no gain tuning required; second, easy implementation; third, reduced number of sensors (the load currents are estimated using mathematical PUC7...
The variability of power production from renewable energy sources (RESs) presents serious challenges in management (EM) and system stability. Power forecasting plays a crucial role optimal EM grid security. Then, accurate ensures optimum scheduling EM. Therefore, this study proposes an artificial neural network- (ANN-) based paradigm to predict wind (WP) generation load demand, where the meteorological parameters, including speed, temperature, atmospheric pressure, are fed model as inputs....
The random fluctuation and non-uniformity of photovoltaic power generation greatly affect the grids' stability operation. This paper addresses high volatility by proposing a precise reliable ensemble learning model for short-term forecasting. proposed forecasting tool incorporates base meta-model layers. first-layer learner combines extreme machines, extremely randomized trees, k-nearest neighbor, mondrian forest models. layer exploits deep belief network to generate final outputs....
This paper proposes a novel fault detection and diagnosis (FDD) technique for grid-tied PV systems. The proposed approach deals with system uncertainties (current/voltage variability, noise, measurement errors,…) by using an interval-valued data representation, large-scale systems dataset size-reduction framework. failures encompassed in this study are the open-circuit/short-circuit, islanding, output current sensor, partial shading faults. In FDD approach, named interval reduced kernel PCA...
Nowadays, Single-DC-Source Multilevel Inverter (SDCS-MLI) topologies are being considered as more suitable for many power system applications such Renewable Energy (RE) conversion systems and electrified transportations compared to the Multiple-DC-Source MLIs (MDCS-MLIs). Voltage balancing of auxiliary capacitors in those configurations is a major matter concern. Different techniques have been developed overcome this issue that can be mainly categorized internal controller-based external...