A5001560196- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Hydrological Forecasting Using AI
- Solar Thermal and Photovoltaic Systems
- Energy Load and Power Forecasting
- Energy and Environment Impacts
- Hybrid Renewable Energy Systems
- Water resources management and optimization
- Electric Vehicles and Infrastructure
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Advanced Battery Technologies Research
- Advanced Manufacturing and Logistics Optimization
- Power System Optimization and Stability
- Smart Parking Systems Research
- Electric Power System Optimization
- Vehicle License Plate Recognition
- Islanding Detection in Power Systems
- Stock Market Forecasting Methods
- Advanced Sensor and Energy Harvesting Materials
- Frequency Control in Power Systems
- Plant Water Relations and Carbon Dynamics
- Integrated Energy Systems Optimization
- Water Quality Monitoring Technologies
- Belt Conveyor Systems Engineering
Mustansiriyah University
2022-2024
Universiti Putra Malaysia
2020-2024
Urban water demand prediction based on climate change is always challenging for utilities because of the uncertainty that results from a sudden rise in due to stochastic patterns climatic factors. For this purpose, novel combined methodology including, firstly, data pre-processing techniques were employed decompose time series and factors by using empirical mode decomposition identifying best model input via tolerance avoid multi-collinearity. Second, artificial neural network (ANN) was...
Scholars worldwide have shown considerable interest in the industrial sector, mainly due to its abundant resources, which facilitated adoption of conveyor belt technologies like Robotic Arm-Based Conveyor Belts (RACBs). RACBs rely on four primary movements: (i.e., joint, motor, gear, and sensor), can a significant impact overall motions motion estimation. To optimize these operations, an assistive algorithm has been developed enhance effectiveness by achieving favorable gains. However, each...
This paper introduces a robust approach, integrating Virtual Inertia Controller (VIC) with modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). In these MGs, the low inertia in system has undesirable impact on stability MG frequency. As result, it leads to weakening MGs overall performance. A novel fractional derivative virtual is integrated into VIC loop address this issue. enhancement aims fortify...
Electric vehicle charging stations (EVCSs) and renewable energy sources (RESs) have been widely integrated into distribution systems. vehicles (EVs) offer advantages for systems, such as increasing reliability efficiency, reducing pollutant emissions, decreasing dependence on non-endogenous resources. In addition, vehicle-to-grid (V2G) technology has made EVs a potential form of portable storage, alleviating the random fluctuation power. This paper simulates optimal design...
Solar Photovoltaic (PV) system is one of the most significant forms renewable energy resources, and it requires accuracy to assess, design, extraction its parameters. Several methods have been extensively applied mimic nonlinearity multi-model behavior PV system. However, there no method date that can guarantee extracted parameter model accurate one. Therefore, this paper presents a unique approach known as Hybridized Arithmetic Operation Algorithm based on Efficient Newton Raphson (HAOA...
Context: Network-on-Chips (NoCs) serve as essential interconnection infrastructures in Multi-processor System-on-Chip (MPSoC) designs, emphasizing flexibility, extensibility, and low power consumption. The effectiveness of communication within NoCs relies heavily on the routing algorithm employed. However, process faces significant challenges, such deadlock, livelock, congestion, faults, which impact Design Space Exploration (DSE) process. Objective: In this research, we propose a prediction...
In this paper, a new optimal load shedding method using grasshopper optimization algorithm (GOA) is proposed for maintaining the stability of islanded power system that comprises distributed energy resources (DER). The GOA used in conjunction with voltage margin (VSM) to handle multi-objective constraints, namely generation restrictions, allowable curtailment, and priority. To assess effectiveness offered method, comprehensive evaluation study applied IEEE 33-bus four DG units view different...
In this paper, an intelligent method for fault detection and classification a microgrid (MG) was proposed. The idea based on the combination of three computational tools: signal processing using maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by augmented Lagrangian particle swarm (ALPSO), machine learning support vector (SVM). MODWPT applied to preprocess half cycle post-fault current samples measured at both ends feeders. coefficients derived from were...