Papers by Abdulaziz Alshareef
Review of Hydrogen Based Fuel Cells Energy Storage Systems
Sustainable energy, Oct 14, 2022
Load forecasting has become in recent years one of the major areas of research in electrical engi... more Load forecasting has become in recent years one of the major areas of research in electrical engineering. Most traditional forecasting models and artificial intelligence neural network techniques have been tried out in this task. Artificial neural networks (ANN) have lately received much attention, and a great number of papers have reported successful experiments and practical tests. This article presents the development of an ANN-based short-term load forecasting model with improved generalization technique for the Regional Power Control Center of Saudi Electricity Company, Western Operation Area (SEC-WOA). The proposed ANN is trained with weather-related data and historical electric load-related data using the data from the calendar years 2001, 2002, 2003, and 2004 for training. The model tested for one week at five different seasons, typically, winter, spring, summer, Ramadan and fall seasons, and the mean absolute average error for one hour-ahead load forecasting found 1.12%.
The effect of counter electrodes on the photodegrading performances of azoic dye using TiO2 nanotubes arrays
Journal of Materials Science: Materials in Electronics, 2021
The novelty of this work is to fabricate the double-walled (DW) TiO2 nanotube arrays (TNAs) by an... more The novelty of this work is to fabricate the double-walled (DW) TiO2 nanotube arrays (TNAs) by an anode oxidation method with NH4F-based electrolyte and Zinc counter electrode (CE, c-Zn) and to investigate the photodegradation performance of these TNAs. The structural, optical, and photodegradation performance of TNAs with c-Zn material have been compared to the properties of TNAs with the other two CEs like c-Pt (Platinum) and c-Ti (Titanium). The counter electrode has a tremendous influence on the structural properties and geometrical features of TNAs. The TNAs fabricated with c-Zn have the red-shifted absorption edge with two bandgaps such as 3.15 and 1.78 eV. Interestingly, the TNAs with c-Zn are found as the DW TNAs with outer diameter of 130 ± 3 nm, thinner outer wall thickness of 12 ± 2 nm, and thicker inner wall thickness of 30 ± 2 nm. The photodegradation performance varies with different counter electrodes during the deposition of TNAs by the anode oxidation method. The TNAs sample prepared with c-Zn has shown the highest roughness value of 305.0 nm, photodegradation efficiency of 97.0%, and the rate constant value of 0.00985 min−1 than the other TNAs with c-Pt, c-Ti, and other researcher's data. Moreover, the optical, structural, and surface morphological properties of TNAs have correlated with the photodegradation performance of TNAs prepared with various counter electrodes during deposition.
The International Journal of Advanced Manufacturing Technology, 2020
Ball burnishing is a superfinishing operation performed to improve surface and subsurface integri... more Ball burnishing is a superfinishing operation performed to improve surface and subsurface integrity. In the present study, a model was developed to confirm that the ball burnishing of AISI 8620 steel affects its microstructures, roughness, and residual stress. As a part of the process, the influence of different parameters on the residual stress surface in the axial direction was investigated. Samples were prepared by heat treatment and turning. The ball-burnishing process was performed, and the improvements on the surface and subsurface integrity were found to be significant. Residual stress after ball burnishing was found to be affected by pressure and feed rate to a statistically significant extent. Stress was found to be in the form of compression. The steel displayed significant improvements in surface roughness and residual stress following burnishing. The linear regression models derived from the data for the relationship between burnishing factors and residual stress offer R 2 values of 80.88%. Results suggest that the ball-burnishing process enhanced the properties of AISI 8620 steel.
International Journal Of Community Medicine And Public Health, 2019
Background: Screening approved medications to identify therapeutics for drug repurposing is an ef... more Background: Screening approved medications to identify therapeutics for drug repurposing is an effective tactic, and a deep research into off label drug use (OLDU) is required. Unfortunately, OLDU has not been extensively studied in Middle East. Our study aimed to evaluate the extent of OLDU in Saudi Arabia.Methods: Retrospective study carried out during 12 month period at six tertiary hospitals in Saudi Arabia. Each prescription was evaluated as unlicensed or OLDU based on the product information or based on Food and drug Administration (FDA) approval.Results: A total of 288 prescriptions were analyzed, where the reasons for off-label prescribing were OLDU by indication (94.42%), OLDU by different age group (2.09%), and other reasons represented (3.48%). Adults/geriatrics (≥18 years) received (89.05%) of the orders, and children (1-11 years) received (7.78%) of the orders. Both adolescents (12-18 years) and neonates (1-29 days) received (1.42%) of the orders per each category, whil...
32nd European Solid-State Device Research Conference, 2002
This paper investigates the use of RPN-based oxynitride gate dielectrics for 90 nm Low Power (LP)... more This paper investigates the use of RPN-based oxynitride gate dielectrics for 90 nm Low Power (LP) CMOS applications. Several recipes have been developed to optimise the gate dielectric for targeted EOT, high mobility and improved EOT uniformity. Compared to conventional furnace oxynitride, significant gate leakage reduction has been found in devices with plasma nitrided oxides. This enabled reaching the spec for the I OFF current of 20 pA/µm and improve the I ON -I OFF trade-off. The I ON current obtained at 1.2 V for NMOS and PMOS devices is 427 µA/µm (at I OFF =16 pA/µm) and 170 µA/µm (at I OFF =16 pA/µm), respectively. The obtained results are among the best values reported in the literature.
Journal of King Abdulaziz University-Engineering Sciences, 2010
Load forecasting has become in recent years one of the major areas of research in electrical engi... more Load forecasting has become in recent years one of the major areas of research in electrical engineering. Most traditional forecasting models and artificial intelligence neural network techniques have been tried out in this task. Artificial neural networks (ANN) have lately received much attention, and a great number of papers have reported successful experiments and practical tests. This paper presents the development of an ANN-based short-term load forecasting model with improved accuracy for the Regional Power Control Centre of Saudi Electricity Company, Western Operation Area (SEC-WOA). The proposed ANN is trained with weather-related data, special events indexes and historical electric load-related data using the data from the calendar years 2003, to 2007 for training. Different neural networks topologies have been trained and tested for achieve the optimal topology and ranking the input variables in terms of their importance. Based on the optimal NN topology, the network has been trained to predict the ahead load at different time intervals.
An Application of Artificial Intelligent Optimization Techniques to Dynamic Unit Commitment for the Western Area of Saudi Arabia
2011 Third International Conference on Computational Intelligence, Communication Systems and Networks, 2011
... Some parts of PSO are modified (eg, includes bacterial foraging operations) to converge the s... more ... Some parts of PSO are modified (eg, includes bacterial foraging operations) to converge the system. ... H. Mantawy, A genetic algorithm solution to a new fuzzy unit commitment model, Electric ... M. El-Saadawi, MA Tantawi, and E. Tawfik, A fuzzy optimization based approach to ...
Load Forecasting of a Desert: a Computational Intelligence Approach
2009 15th International Conference on Intelligent System Applications to Power Systems, 2009
` Abstract This paper presents artificial neural networks and particle swarm optimization (ANN-P... more ` Abstract This paper presents artificial neural networks and particle swarm optimization (ANN-PSO) based short-term load forecasting model with improved generalization technique for the Regional Power Control Center of Saudi Electricity Company, Western Operation ...
Scalable unit commitment by memory-bounded ant colony optimization with local search
International Journal of Electrical Power & Energy Systems, 2008
Ant colony optimization (ACO) is successfully applied in optimization problems. Performance of th... more Ant colony optimization (ACO) is successfully applied in optimization problems. Performance of the basic ACO for small problems with moderate dimension and searching space is satisfactory. As the searching space grows exponentially in the large-scale unit ...
Constrained non-linear optimization by modified particle swarm optimization
2007 10th International Conference on Computer and Information Technology, 2007
Abstract This paper presents a modified particle swarm optimization (MPSO) for constrained non-li... more Abstract This paper presents a modified particle swarm optimization (MPSO) for constrained non-linear optimization problems. Optimization problems are very complex in real life applications. The proposed modified PSO consists of problem (complexity) dependent variable number of promising values (in velocity vector), error-iteration dependent step length, unlocking the dead look of idle particles and so on. It reliably and accurately tracks a continuously changing solution of the complex function and no extra concentration/effort is ...
Journal of King Abdulaziz University-Engineering Sciences, 1999
Design of a power system stabilizer for Al-Umra power system is proposed. A linear model for the ... more Design of a power system stabilizer for Al-Umra power system is proposed. A linear model for the power system is presented and analysed. The eigenvalue analysis of the model has shown the existence of an unstable mechanical mode. To overcome this instability problem, a power system stabilizer based on a lead-lag compensator is introduced. Parameters of the proposed power system stabilizer have been chosen and tuned carefully in order to give the system an adequate performance. Digital time simulations indicate that the stabilizer has resulted in a significant improvement in system performance.
GaN-based double-gate (DG) sub-10-nm MOSFETs: effects of gate work function
Journal of Computational Electronics
Next 24-Hours Load Forecasting for the Western Area of Saudi Arabia Using Artificial Neural Network and Particle Swarm Optimization
Journal of Engineering and Computer Sciences, Apr 2, 2010
Intelgent modeling techniques of power load forecasting for the western area of saudi arabia
Journal of King Abdulaziz University Science, May 3, 2010
The Application of Committee Machine Model in Power Load Forecasting for the Western Region of Saudi Arabia
Journal of King Abdulaziz University-Engineering Sciences, 2010
ABSTRACT he application of committee machine model in power load forecasting for the western regi... more ABSTRACT he application of committee machine model in power load forecasting for the western region of saudi arabia
A two level computer control system for assessments of adaptive power system stabilizers
Decentralized Model for Adaptive Multimachine Power System Stabilizer Design
Development of Multivariable Pole Shifting Control Algorithm for Self Tuning Regulators
https://www.researchgate.net/publication/233980531_Toward_securing_a_supporting_environment_for_scientific_research_in_the_Arab_World?ev=prf_pub
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Papers by Abdulaziz Alshareef