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Results for “"Subrata K. Sarker"”

16+ results

A survey on control issues in renewable energy integration and microgrid

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Faisal R. Badal, Purnima Das, Subrata K. Sarker, Sajal K. Das

Journal: Protection and Control of Modern Power SystemsYear: 2019Citations: 352

Abstract This paper describes the usefulness of renewable energy throughout the world to generate power. Renewable energy adds a remarkable scope in power system. Renewable energy sources act as the prime mover of a microgrid. The Microgrid is a small network of power system with distributed generat...

Physical SciencesEngineeringControl and Systems EngineeringOpen Access
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Microplastics in fishes from the Northern Bay of Bengal

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M. Shahadat Hossain, Faisal Sobhan, Mohammad Nasir Uddin, S.M. Sharifuzzaman et al.

Journal: The Science of The Total EnvironmentYear: 2019Citations: 287

Microplastics were determined in pink Bombay-duck (Harpadon nehereus), white Bombay-duck (H. translucens) and gold-stripe sardine (Sardinella gibbosa) collected from the Northern Bay of Bengal at Bangladesh. Gastrointestinal tracts of fishes (n = 25 per species) were examined for microplastics follo...

Physical SciencesEnvironmental SciencePollution
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Towards next generation virtual power plant: Technology review and frameworks

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Erphan A. Bhuiyan, Md. Zahid Hossain, S. M. Muyeen, Shahriar Rahman Fahim et al.

Journal: Renewable and Sustainable Energy ReviewsYear: 2021Citations: 201
Physical SciencesEngineeringElectrical and Electronic Engineering
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Electrochemical Impedance Spectra of Dye-Sensitized Solar Cells: Fundamentals and Spreadsheet Calculation

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Subrata Sarker, A. J. Saleh Ahammad, Hyun Woo Seo, Dong Min Kim

Journal: International Journal of PhotoenergyYear: 2014Citations: 200

Electrochemical impedance spectroscopy (EIS) is one of the most important tools to elucidate the charge transfer and transport processes in various electrochemical systems including dye-sensitized solar cells (DSSCs). Even though there are many books and reports on EIS, it is often very difficult to...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
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Self attention convolutional neural network with time series imaging based feature extraction for transmission line fault detection and classification

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Shahriar Rahman Fahim, Yeahia Sarker, Subrata K. Sarker, Md. Rafiqul Islam Sheikh et al.

Journal: Electric Power Systems ResearchYear: 2020Citations: 175

This paper introduces a novel self-attention convolutional neural network (SAT-CNN) model for detection and classification (FDC) of transmission line faults. The transmission lines continuously experience the number of shunt faults and its effect in the practical system rises the instability, line r...

Physical SciencesEngineeringControl and Systems Engineering
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Towards electric digital twin grid: Technology and framework review

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Md. Mhamud Hussen Sifat, Safwat Mukarrama Choudhury, Sajal K. Das, Md. Hafiz Ahamed et al.

Journal: Energy and AIYear: 2022Citations: 155

The major hindrances in the energy system are ecological consciousness, lack of clean and sustainable energy management, insufficient energy distribution–transmission–optimization, expensive power transfer costs, and increased customer knowledge of energy charges. Thus why, universal access to the g...

Physical SciencesEngineeringControl and Systems EngineeringOpen Access
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Digital twin: Data exploration, architecture, implementation and future

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Md. Shezad Dihan, Anwar Islam Akash, Zinat Tasneem, Prangon Das et al.

Journal: HeliyonYear: 2024Citations: 148

A Digital Twin (DT) is a digital copy or virtual representation of an object, process, service, or system in the real world. It was first introduced to the world by the National Aeronautics and Space Administration (NASA) through its Apollo Mission in the '60s. It can successfully design a virtual o...

Physical SciencesEngineeringIndustrial and Manufacturing EngineeringOpen Access
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Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

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Faiaz Ahsan, Nazia Hasan Dana, Subrata K. Sarker, Li Li et al.

Journal: Protection and Control of Modern Power SystemsYear: 2023Citations: 147

Abstract Meteorological changes urge engineering communities to look for sustainable and clean energy technologies to keep the environment safe by reducing CO 2 emissions. The structure of these technologies relies on the deep integration of advanced data-driven techniques which can ensure efficient...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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A deep learning based intelligent approach in detection and classification of transmission line faults

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Shahriar Rahman Fahim, Subrata K. Sarker, S. M. Muyeen, Sajal K. Das et al.

Journal: International Journal of Electrical Power & Energy SystemsYear: 2021Citations: 146
Physical SciencesEngineeringControl and Systems Engineering
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Riverine plastic pollution from fisheries: Insights from the Ganges River system

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Sarah E. Nelms, Emily M. Duncan, Surshti Patel, Ruchi Badola et al.

Journal: The Science of The Total EnvironmentYear: 2020Citations: 146

Abandoned, lost or otherwise discarded fishing gear represents a substantial proportion of global marine plastic pollution and can cause significant environmental and socio-economic impacts. Yet little is known about its presence in, and implications for, freshwater ecosystems or its downstream cont...

Physical SciencesEnvironmental SciencePollutionOpen Access
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A review on microgrid optimization with meta-heuristic techniques: Scopes, trends and recommendation

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Afifa Akter, Ehsanul Islam Zafir, Nazia Hasan Dana, Rahul Joysoyal et al.

Journal: Energy Strategy ReviewsYear: 2024Citations: 139

Microgrids (MGs) use renewable sources to meet the growing demand for energy with increasing consumer needs and technological advancement. They operate independently as small-scale energy networks using distributed energy resources. However, the intermittent nature of renewable energy sources and po...

Physical SciencesEngineeringControl and Systems EngineeringOpen Access
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Towards next generation digital twin in robotics: Trends, scopes, challenges, and future

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Arif Hossain Mazumder, M.F. Sahed, Zinat Tasneem, Prangon Das et al.

Journal: HeliyonYear: 2023Citations: 124

With the advent of Industry 4.0, several cutting-edge technologies such as cyber-physical systems, digital twins, IoT, robots, big data, cloud computation have emerged. However, how these technologies are interconnected or fused for collaborative and increased functionality is what elevates 4.0 to a...

Physical SciencesEngineeringIndustrial and Manufacturing EngineeringOpen Access
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Microgrid Fault Detection and Classification: Machine Learning Based Approach, Comparison, and Reviews

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Shahriar Rahman Fahim, Subrata K. Sarker, S. M. Muyeen, Md. Rafiqul Islam Sheikh et al.

Journal: EnergiesYear: 2020Citations: 119

Accurate fault classification and detection for the microgrid (MG) becomes a concern among the researchers from the state-of-art of fault diagnosis as it increases the chance to increase the transient response. The MG frequently experiences a number of shunt faults during the distribution of power f...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Plastic pollution in aquatic systems in Bangladesh: A review of current knowledge

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Gawsia Wahidunnessa Chowdhury, Heather J. Koldewey, Emily M. Duncan, Imogen E. Napper et al.

Journal: The Science of The Total EnvironmentYear: 2020Citations: 96

Rivers play a crucial role in transporting land-based plastic waste to the ocean, with the Ganges reported as the second largest contributing river of plastic pollution globally. To better quantify global plastic pollution transport and effectively reduce the sources and risks imposed, a clear under...

Physical SciencesEnvironmental SciencePollution
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Seasonal variations of trace metals from water and sediment samples in the northern Bay of Bengal

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Solaiman Hossain, Md. Kawser Ahmed, Subrata Sarker, M. Safiur Rahman

Journal: Ecotoxicology and Environmental SafetyYear: 2020Citations: 95

We aimed to determine the temporal variation of trace metals concentrations in surface water and surface sediment samples at Kutubdia Channel, Bangladesh. Trace metals of samples were detected using energy dispersive X-ray fluorescence (Energy-dispersive X-ray spectroscopy) method. The lowest concen...

Physical SciencesEnvironmental SciencePollution
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