M. Premkumar
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View article: Optimal Parameter Extraction of Three‐Diode Photovoltaic Model Using the Hybrid Golden Jackal Optimizer With Fitness Distance Balance Mechanism and Berndt‐Hall‐Hall‐Hausman Method
Optimal Parameter Extraction of Three‐Diode Photovoltaic Model Using the Hybrid Golden Jackal Optimizer With Fitness Distance Balance Mechanism and Berndt‐Hall‐Hall‐Hausman Method Open
Accurate simulation and operation of photovoltaic (PV) systems depend on reliable extraction of model parameters from experimental data. These parameters are vital in assessing system efficiency under different environmental conditions. Du…
View article: Exploring the spectrum: A comprehensive review of control methods in microgrid systems
Exploring the spectrum: A comprehensive review of control methods in microgrid systems Open
View article: MONRBO: A multi-objective Newton-Raphson-based optimizer with dynamic elimination-based crowding distance for numerical benchmark and engineering design problems
MONRBO: A multi-objective Newton-Raphson-based optimizer with dynamic elimination-based crowding distance for numerical benchmark and engineering design problems Open
View article: Blood Group Prognosis Using Fingerprint by CNN Algorithm
Blood Group Prognosis Using Fingerprint by CNN Algorithm Open
Identification of an existent's blood team is pivotal in exigency situations, for identification authentication, and in population analysis. It would else contain drawing a blood pattern and assaying it in a laboratory, which is painful, t…
View article: Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm
Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm Open
This paper addresses the critical challenge of optimizing the energy efficiency of induction motors, which are pivotal components across diverse industrial sectors due to their substantial energy consumption. Given the non-measurable inter…
View article: QoS Transformation in the Cloud: Advancing Service Quality Through Innovative Resource Scheduling
QoS Transformation in the Cloud: Advancing Service Quality Through Innovative Resource Scheduling Open
Cloud computing (CC) has emerged as a transformative technology, offering customers unprecedented access to extensive computing resources and the diverse services for hosting various applications. However, this environment comes with sever…
View article: Retraction: Bismuth-based nanoparticles and nanocomposites: synthesis and applications
Retraction: Bismuth-based nanoparticles and nanocomposites: synthesis and applications Open
Retraction of ‘Bismuth-based nanoparticles and nanocomposites: synthesis and applications’ by Sujit Kumar et al. , RSC Adv. , 2024, 14 , 39523–39542, https://doi.org/10.1039/D4RA05637J.
View article: Segment routing for WSN using hybrid optimization with energy-efficient game theory-based clustering technique
Segment routing for WSN using hybrid optimization with energy-efficient game theory-based clustering technique Open
This research focuses on Wireless Sensor Networks (WSNs) and proposes a three-phase approach to achieve energy-efficient routing. The approach consists of node deployment using Voronoi diagrams, clustering, and Cluster Head (CH) selection …
View article: ExAq-MSPP: An Energy-Efficient Mobile Sink Path Planning Using Extended Aquila Optimization Algorithm
ExAq-MSPP: An Energy-Efficient Mobile Sink Path Planning Using Extended Aquila Optimization Algorithm Open
Wireless sensor networks play a crucial role in gathering data from remote or hard-to-reach locations, enabling real-time monitoring and decision-making in a wide range of industries and applications. The mobile sink path planning (MSPP) e…
View article: Optimizing residential flexibility for sustainable energy management in distribution networks
Optimizing residential flexibility for sustainable energy management in distribution networks Open
In search of a sustainable and green economy, many initiatives have been undertaken to promote clean energy and enhance local flexibility. Residential flexibility, achieved through home appliances capable of adjusting their consumption pro…
View article: Energy-efficient design and CNFET implementation of GDI-based ternary prefix adders
Energy-efficient design and CNFET implementation of GDI-based ternary prefix adders Open
Ternary adders have produced more benefits compared to binary adders i.e., the ternary adder occupies less amount of area as well as produces less interconnect complexity. However, the CMOS implementation of the ternary adders failed to pe…
View article: Exploring the potential of 5G uplink communication: Synergistic integration of joint power control, user grouping, and multi-learning Grey Wolf Optimizer
Exploring the potential of 5G uplink communication: Synergistic integration of joint power control, user grouping, and multi-learning Grey Wolf Optimizer Open
View article: Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm
Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm Open
View article: Optimizing Drone-Based IoT Base Stations in 6G Networks Using the Quasi-opposition-Based Lemurs Optimization Algorithm
Optimizing Drone-Based IoT Base Stations in 6G Networks Using the Quasi-opposition-Based Lemurs Optimization Algorithm Open
The rapid evolution and integration of next-generation Internet-of-things (NG-IoT) applications present new complexities for sixth-generation (6G) mobile communication networks, including the need for extensive connectivity, increased netw…
View article: Multi-objective resistance-capacitance optimization algorithm: An effective multi-objective algorithm for engineering design problems
Multi-objective resistance-capacitance optimization algorithm: An effective multi-objective algorithm for engineering design problems Open
View article: Multi-objective Approach for Dynamic Economic Emission Dispatch Problem Considering Power System Reliability and Transmission Loss Prediction Using Cascaded Forward Neural Network
Multi-objective Approach for Dynamic Economic Emission Dispatch Problem Considering Power System Reliability and Transmission Loss Prediction Using Cascaded Forward Neural Network Open
This study addresses the significant problem of Dynamic Economic Emission Dispatch (DEED), a critical consideration in power systems from both economic and environmental protection viewpoints. Reliability stands as another vital facet, imp…
View article: Super-twisting MPPT control for grid-connected PV/battery system using higher order sliding mode observer
Super-twisting MPPT control for grid-connected PV/battery system using higher order sliding mode observer Open
In recent times, photovoltaic (PV) power generation has been growing due to increase in energy demand. In grid-connected mode, achieving maximum power (MP) from the PV array is difficult by using conventional techniques due to various reas…
View article: Design and Implementation of Discrete Field Arithmetic-Based Cylindrical Coil-Driven Crypto Framework for Cloud Data
Design and Implementation of Discrete Field Arithmetic-Based Cylindrical Coil-Driven Crypto Framework for Cloud Data Open
The ability to interpret and create code is known as cryptography and has been used to exchange information between peer parties securely. An encryption algorithm is a type of network security model that consists of designing and putting i…
View article: Author Correction: Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems
Author Correction: Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems Open
View article: Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach
Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach Open
This paper delves into the increasingly complex domain of Optimal Power Flow (OPF) within modern power systems, enhanced by the integration of unpredictable renewable energy sources. The research originally integrates stochastic photovolta…
View article: Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems
Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems Open
View article: Enhancing photovoltaic parameter estimation: integration of non-linear hunting and reinforcement learning strategies with golden jackal optimizer
Enhancing photovoltaic parameter estimation: integration of non-linear hunting and reinforcement learning strategies with golden jackal optimizer Open
The advancement of Photovoltaic (PV) systems hinges on the precise optimization of their parameters. Among the numerous optimization techniques, the effectiveness of each often rests on their inherent parameters. This research introduces a…
View article: Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm
Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm Open
Given the multi-model and nonlinear characteristics of photovoltaic (PV) models, parameter extraction presents a challenging problem. This challenge is exacerbated by the propensity of conventional algorithms to get trapped in local optima…
View article: Bismuth-based nanoparticles and nanocomposites: synthesis and applications
Bismuth-based nanoparticles and nanocomposites: synthesis and applications Open
In the vast landscape of materials science, bismuth emerges as a compelling element with unique properties and diverse applications.
View article: A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System
A Hybrid Sparrow Search Optimized Fractional Virtual Inertia Control for Frequency Regulation of Multi-Microgrid System Open
This paper introduces a robust approach, integrating a Virtual Inertia Controller (VIC) with a modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). …
View article: MATLAB Based Graphical User Interface for Parameter Computation of Type II and Type III Controllers for DC DC Converters
MATLAB Based Graphical User Interface for Parameter Computation of Type II and Type III Controllers for DC DC Converters Open
View article: MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems
MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems Open
In the realm of computational problem-solving, the search for efficient algorithms tailored for real-world engineering challenges and software requirement prioritization is relentless. This paper introduces the Multi-Learning-Based Reptile…
View article: An Accurate Metaheuristic Mountain Gazelle Optimizer for Parameter Estimation of Single- and Double-Diode Photovoltaic Cell Models
An Accurate Metaheuristic Mountain Gazelle Optimizer for Parameter Estimation of Single- and Double-Diode Photovoltaic Cell Models Open
Accurate parameter estimation is crucial and challenging for the design and modeling of PV cells/modules. However, the high degree of non-linearity of the typical I–V characteristic further complicates this task. Consequently, significant …
View article: Adaptive neuro‐fuzzy inference system and particle swarm optimization: A modern paradigm for securing VANETs
Adaptive neuro‐fuzzy inference system and particle swarm optimization: A modern paradigm for securing VANETs Open
Vehicular Adhoc Networks (VANET) facilitate inter‐vehicle communication using their dedicated connection infrastructure. Numerous advantages and applications exist associated with this technology, with road safety particularly noteworthy. …
View article: Resistance–capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems
Resistance–capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems Open