Solar photovoltaic (PV) systems and their installation are essential to determine a general practice for specialized risk assessment, which reduces the danger linked solutions avoid those hazards, call mitigation strategies.This paper aims present assessment strategies large-scale PV in developing countries.To achieve this, complaints-related data has been collected from well-known companies providing industrial residential consumers.This presents insights on repetitive complaints, potential...

Rising energy demands, economic challenges, and the urgent need to address climate change have led emergence of a market wherein consumers can both purchase sell electricity grid. This leverages diverse sources storage systems achieve significant cost savings for while providing critical grid support utilities. In this study, an management system has been employed tackle optimization problem associated with various sources. approach relies on mixed-integer linear programming (MILP) optimize...

Summary The presence of electric vehicles (EVs) directly affects the low voltage distribution networks. This article depicts anticipated problems that occurred when it draws power from grid to vehicle in charging scenario and critically analyze EV as dynamic storage while feeding discharging status (vehicle grid). merits demerits by deploying mass integration EVs into network are comprehensively investigated. Moreover, challenges integrating renewable energy resources deployment EVs, for...

Background/Objectives: Deep transfer learning, leveraging convolutional neural networks (CNNs), has become a pivotal tool for brain tumor detection. However, key challenges include optimizing hyperparameter selection and enhancing the generalization capabilities of models. This study introduces novel CART-ANOVA (Cartesian-ANOVA) tuning framework, which differs from traditional optimization methods by systematically integrating statistical significance testing (ANOVA) with Cartesian product...

The emergence of new technologies such as IoT, along with the merger renewable energies, AI, smart grids, and non linear loads is enhancing complexity modern power systems detecting fault well its correction much harder. Traditional methods suffer from inadequate speed, accuracy, less coverage, latency that renders them highly ineffective in varying conditions. Reliable transmission vital for infrastructure, faults on lines can disrupt supply, damage equipment, create safety risks. This...

At present with the massive induction of distributed renewable energy sources (RES), storage systems (ESS) have potential to curb intermittent nature micro and provide a steady supply power load. It gives an optimum solution considers as major part intelligent grids. For making green environment, Electric Vehicle (EV) is best option that emits zero exhaust gases, cleaner, less noisy eco-friendly compared engine-based vehicles. could embark sanctuary by allowing open access RES. Nonetheless,...

This paper addresses a multi-objective particle swarm optimization (MOPSO) algorithm to locate the best position at which single distributed generator (DG) with optimum voltage amplitude and phase can be installed. The objective is maximize power factor in IEEE 9-Bus system 15-Bus using MATLAB/SIMULINK software. Systematic simulations revealed that DG Bus-5 amplitude/phase of 230 kV/-13 ∘ caused highest function value 1.9919 an improvement 1.39% 1.15% respectively. In system, Bus-3 (0.8828)...

A few decades ago, the idea of a car driving without human assistance was something inconceivable. With advent deep learning-based machine learning in artificial intelligence, this imaginary has become part our life. Like other fields, these technological revolutions have brought drastic changes to field automated systems. The autonomous vehicle is transition state between level 3 and 4 automation, but many mysteries are still waiting be solved. Understanding environment as precisely driver...

In recent years, there is growth in acceptance to consume fewer fossil fuels globally and the manufacturing of electric vehicles (EVs) has become more popular. However, increase number systems connected grid that contain EVs with a huge power capacity leads unstable working system. To assess stability charging station several control approaches AC part DC parts during mode discharging modes are tested. African vulture optimization algorithm (AVOA) been utilized tune system controllers...

Accident rates in academic laboratories are increasing rapidly day to day. The incorporation of complex activities with the inclusion modern technologies and human behavior during experiments often makes it difficult manage health safety risks. Failure modes effect analysis (FMEA) is widely used risk assessment technique that consider (03) parameters which include severity (S), occurrence (O), detection (D), calculate a priority number (R.P.N), facilitates failure ranking. However, there...

Voltage-related power quality issues, including voltage sag, swell, and total harmonic distortion (THD), have become a significant concern in recent times.These particularly harmonics, are known to degrade utility performance lifespan, necessitating urgent rectification ensure high-quality supply.This is crucial as our generation increasingly depends on electricity for enhanced living standards.Flexible AC transmission system (FACTS) devices gaining considerable interest effective solutions...

Road accident data includes detailed information about incidents that occurred, such as where they happened, the severity of accident, and number people on road at time. Such is useful in determining causes accidents developing potential countermeasures. This research aims to determine factors contribute pedestrian fatalities injuries traffic accidents. study examined 150 pedestrian-vehicle took place between 1990 2021 forty countries. Eleven have been identified major The categorical...

This work is used to design a novel robust optimization control law augmented with Robust Generalized Dynamic Inversion (RGDI) for continuous varying perturbations in the Twin Rotor MIMO System (TRMS). The like coupling effect, un-known states, gyroscopic disturbance torque, parametric uncertainties and disturbances are considered as unwanted signal which should be optimized by an efficient controller. variable structured systems TRMS (prototype) have great focus due its high computational...

During epidemic outbreak it is hard to continue formal leaning and training routines specially when whole world facing corona virus fistula. It crucial identify share the best practices innovations enable teaching learning take place during juncture. This will reinforce basis for more sustainable balanced schooling solutions as crisis decreases. The biggest solution cuts of schools plunge into cyberspace distance learning, establishing a symbiosis between humans computers. Ideally, specific...

This research work focuses on a Near-Infra-Red (NIR) finger-images-based multimodal biometric system based Finger Texture and Vein biometrics. The individual results of the characteristics are fused using fuzzy system, final identification result is achieved. Experiments performed for three different databases, i.e., Hand Images (NIRHI), Hong Kong Polytechnic University (HKPU) Twente Pattern (UTFVP) databases. First, employs an efficient texture feature extracting algorithm, Linear Binary...

The efficient operation of power-electronic-based systems heavily relies on the reliability and longevity battery-powered systems. An accurate prediction remaining useful life (RUL) batteries is essential for their effective maintenance, reliability, safety. However, traditional RUL methods deep learning-based approaches face challenges in managing battery degradation processes, such as achieving robust performance, to ensure scalability computational efficiency. There a need develop...

This paper endeavours a control scheme for optimal of voltage and frequency power inverter which relied upon distributed generation in cognitive microgrid using soft computational methods. It gives sound direction on how to the active flow, voltage-frequency regulation, sharing among various components MG. The classical voltage–frequency strategy parallel with modern method is well excavated present paper. Moreover, modulation techniques, variants reference frames, quality indices are...

With the advancement in technology, non-linear loads, continue to increase, and enigma of harmonics is getting more serious. The huge addition electronic loads power systems has formed problem harmonic generation that resulted many associated drawbacks. This paper aims analyze advanced electronics-based describes a solution mitigate them through two distinguished filtering techniques. A rigorous analysis done concerning distortion different types mitigation by employing passive active...

Rapid growth in electrical transportation and a shift towards clean energy from distributed renewable sources are sustainable options to crack down on the demand usage of electricity. In this paper, grid-assisted electric vehicle (EV) rapid charging facilities empowered by photovoltaic modules battery stacks utilised. Further, an effective interactive mechanism between EV power improve system reliability – 15 efficient modes employed for grid-connected station. Moreover, long run facility,...

Global cognizance for a green environment will embark on the rising demand Plugin Electric vehicles (PEV) in upcoming years. In this article, an online power management scheme (RTPMS) solar battery-buffer grid-connected charging facility educational work area is developed. This algorithm contributes to lessening overall diurnal price of recharging PEVs, alleviating influence station grid, while participating shaving rise load curve. The understudy paper sheds idea quick PEV integrated with...

A double output port DC-DC quasi impedance source converter (q-ZSC) is proposed. Each of the outputs has a different voltage gain. One capable bidirectional (four-quadrant) operation by only varying duty ratio. The second gain traditional two-switch buck-boost converter. Operation was verified simulating its responses for input voltages and ratios using MATLAB SIMULINK software. Its average steady-state current values were determined used to determine ripples that existed. These are less...