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Industrial IoT Based Condition monitoring for Wind Energy Conversion system

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CsEE Journal of Power and Energy systems 2021年第3期7卷 654-664页

作者： md Liton Hossain Ahmed Abu-siada s.m.muyeen md mubashwar Hasan momtazur Rahman Department of Electrical and Computer Engineering Curtin UniversityPerthAustralia school of science Engineering and ITFederation UniversityAustralia Edith Cowan University Australia

Wind energy has been identified as the second dominating source in the world renewable energy generation after *** and distribution of wind energy has brought technology revolution by developing the advanced wind energy conversion system(WECs)including multilevel inverters(mLIs).The conventional rectifier produces ripples in their output waveforms while the mLI suffers from voltage balancing issues across the DC-link *** paper proposes a simplified proportional integral(PI)-based space vector pulse width modulation(sVPWm)to minimize the output waveform ripples,resolve the voltage balancing issue and produce better-quality output *** experiences various types of faults particularly in the DC-link capacitor and switching devices of the power *** faults,if not detected and rectified at an early stage,may lead to catastrophic failures to the WECs and continuity of the power *** paper proposes a new algorithm embedded in the proposed PI-based sVPWm controller to identify the fault location in the power converter in real *** most wind power plants are located in remote areas or offshore,WECs condition monitoring needs to be developed over the internet of things(IoT)to ensure system *** this paper,an industrial IoT algorithm with an associated hardware prototype is proposed to monitor the condition of WECs in the real-time environment.

关键词： Asset management condition monitoring fault diagnosis industrial internet of things(IoT) wind energy conversion system

secure and efficient prediction of electric vehicle charging demand usingα^(2)-LsTm and AEs-128 cryptography

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Energy and AI 2024年第2期16卷 84-100页

作者： manish Bharat Ritesh Dash K.Jyotheeswara Reddy A.s.R.murty Dhanamjayulu C. s.m.muyeen Department of Electrical and Electronics Engineering Visvesvaraya Technological UniversityBelgaumIndia school of Electrical and Electronics Engineering REVA UniversityBangaloreIndia school of Electrical Engineering Vellore Institute of TechnologyVelloreIndia Department of Electrical Engineering Qatar UniversityDoha2713Qatar

In recent years,there has been a significant surge in demand for electric vehicles(EVs),necessitating accurate prediction of EV charging *** prediction plays a crucial role in evaluating its impact on the power grid,encompassing power management and peak demand *** this paper,a novel deep neural network based onα^(2)-LsTm is proposed to predict the demand for charging from electric vehicles at a 15-minute time ***,we employ AEs-128 for station quantization and secure communication with *** proposed algorithm achieves a 9.2%reduction in both the Root mean square Error(RmsE)and the mean absolute error compared to LsTm,along with a 13.01%increase in demand *** present a 12-month prediction of EV charging demand at charging stations,accompanied by an effective comparative analysis of mean Absolute Percentage Error(mAPE)and mean Percentage Error(mPE)over the last five years using our proposed *** prediction analysis has been conducted using Python programming.

关键词： Charging demand forecasting Deep neural network Electric vehicles LsTm Peak demand management

Next-generation blockchain enabled smart grid: Conceptual framework, keytechnologies and industry practices review

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Energy and AI 2023年第2期12卷 187-205页

作者： shekh s.Uddin Rahul Joysoyal subrata K.sarker s.m.muyeen md.Firoj Ali md.mehedi Hasan sarafat Hussain Abhi md.Robiul Islam md.Hafiz Ahamed md.manirul Islam sajal K.Das md.Faisal R.Badal Prangon Das Zinat Tasneem Department of mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi 6204Bangladesh Department of Electrical Engineering Qatar UniversityQatar

Technological advancements in smart grid energy systems (sGEss) are introducing sustainable frameworksto meet the demand for the fourth industrial energy revolution. These frameworks are planned to be usedin the forthcoming future to maintain the energy network operation with optimization, energy trading, gridautomation, and so on. Blockchain (BCn), developing after passing a diverse period of the research journey,comes to the mind of researchers and its integration in sGEs paves the way to reach the goal of energydemand. However, still of interest is ongoing in the improvement of BCn features which can be regarded asthe next-generation blockchain framework. This paper exhibits the technical framework of the next-generationBCn framework and explores its benefits and challenges in performing the emerging aspects of sGEs. Thisframework enables some advanced features for the sustainable operation of sGEs like smart metering, peer-topeer (P2P) energy trading, self-operation, and transparency. The technical explanation of this BCn technologyestablished on essential features and requisites is also presented in this paper from various points of viewwhich include smart mechanism, intelligent storage system, and interoperability. We also highlight the recentprogress and limitations of the current BCn framework in sGEs. Finally, some challenges towards integratingthe next-generation BCn technology in sGEs are reported. This work can provide extended support for thepractitioner and researcher in the context of BCn technology and sGEs.

关键词： Blockchain smart grid energy system smart contract

Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

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Protection and Control of modern Power systems 2023年第3期8卷 97-138页

作者： Faiaz Ahsan Nazia Hasan Dana subrata K.sarker Li Li s.m.muyeen md.Firoj Ali Zinat Tasneem md.mehedi Hasan sarafat Hussain Abhi md.Robiul Islam md.Hafiz Ahamed md.manirul Islam sajal K.Das md.Faisal R.Badal Prangon Das Department of mechatronics Engineering Rajshahi University of Engineering and TechnologyRajshahiBangladesh school of Electrical and Data Engineering Faculty of Engineering and ITUniversity of Technology SydneyUltimoAustralia Electrical Engineering Department Qatar UniversityDohaQatar

meteorological changes urge engineering communities to look for sustainable and clean energy technologies to keep the environment safe by reducing CO_(2) *** structure of these technologies relies on the deep inte-gration of advanced data-driven techniques which can ensure efficient energy generation,transmission,and *** conducting thorough research for more than a decade,the concept of the smart grid(sG)has emerged,and its practice around the world paves the ways for efficient use of reliable energy ***,many developing features evoke keen interest and their improvements can be regarded as the next-generation smart grid(NGsG).Also,to deal with the non-linearity and uncertainty,the emergence of data-driven NGsG technology can become a great initiative to reduce the diverse impact of *** paper exhibits the conceptual framework of NGsG by enabling some intelligent technical features to ensure its reliable operation,including intelligent control,agent-based energy conversion,edge computing for energy management,internet of things(IoT)enabled inverter,agent-oriented demand side management,***,a study on the development of data-driven NGsG is discussed to facilitate the use of emerging data-driven techniques(DDTs)for the sustainable operation of the *** prospects of DDTs in the NGsG and their adaptation challenges in real-time are also explored in this paper from various points of view including engineering,technology,et ***,the trends of DDTs towards securing sustainable and clean energy evolution from the NGsG technology in order to keep the environment safe is also studied,while some major future issues are *** paper can offer extended support for engineers and researchers in the context of data-driven technology and the sG.

关键词： Data-driven technology smart grid sustainable energy evolution Next-generation smart grid Intelligent

Towards electric digital twin grid: Technology and framework review

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Energy and AI 2023年第1期11卷 179-195页

作者： md.mhamud Hussen sifat safwat mukarrama Choudhury sajal K.Das md.Hafiz Ahamed s.m.muyeen md.mehedi Hasan md.Firoj Ali Zinat Tasneem md.manirul Islam md.Robiul Islam md.Faisal R.Badal sarafat H.Abhi subrata K.sarker Prangon Das Department of mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh Department of Electrical Engineering Qatar UniversityDoha2713Qatar

The major hindrances in the energy system are ecological consciousness, lack of clean and sustainableenergy management, insufficient energy distribution–transmission–optimization, expensive power transfercosts, and increased customer knowledge of energy charges. Thus why, universal access to the grid with highcybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a newdimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid inreal-time and integrates all the past and present data and express the current grid status to the producers andconsumers and also predicts the future grid status. Thus, the power grid transmission loss and location of theoverheated line and power connection missing can be detected in addition decision-making and self-healingcan possible. The future prediction saves the power grid from small to long accidents such as power outagesand even blackout problems. The whole consumers and nation feel relief from these types of accidents andsaves from large economic and business loss. The blockchain-enabled digital twin grid provides high securityfor the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and theconcept of the DT grid processing and the way of serving the producer, prosumers, consumers even the wholenation in infrastructure, education, research, economic, business, and political development.

关键词： Electric digital twin grid Online analysis of grid Cloud platform of grid Real-time grid analysis self-healing Cybersecurity

Impact of Zika virus non-structural protein mutations on hippocampal damage

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Neural Regeneration Research 2025年第8期20卷 2307-2308页

作者： Larissa m.G.Cassiano Roney s.Coimbra Neurogenômica/Imunopatologia Instituto RenéRachouFiocruzBelo HorizonteBrazil Departamento de Bioquímica e Imunologia Instituto de Ciências BiológicasUniversidade Federal de Minas GeraisBelo HorizonteBrazil

The Zika virus(ZIKV),a member of the Flaviviridae family,attracted worldwide attention for its connection to severe neurological effects,notably microcephaly in newborns,first reported during the 2015 epidemic in ***,its impact goes beyond fetal and neonatal abnormalities,also affecting the central nervous system(CNs)in both children and adults,leading to enduring cognitive and behavioral impairments.

关键词： damage fetal neonatal

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Predicting maximum Lifespan Limits at mean menopausal Age

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Journal of mathematical Research with Applications 2025年第1期 133-142页

作者： m.sUmATHI s.ANTONY CARLA Department of mathematics N.M.S.S.Vellaichamy Nadar College Research scholar (Part-time) Madurai Kamaraj University

The age at which a woman enters natural menopause has also been associated to death from any cause. menopause is a natural component of aging that happens between the ages of 45 and 55, with the average menopausal age being 51. Previous research has revealed the age at which women reach menopause, but there is no evidence to support the link between menopause and longevity. We made a study in assessing the limits of maximum lifespan at menopausal age in our previous article. In this paper, we aim to predict the maximum lifespan of women at mean menopausal age.

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Brain-derived neurotrophic factor signaling in the neuromuscular junction during developmental axonal competition and synapse elimination

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Neural Regeneration Research 2025年第2期20卷 394-401页

作者： Josep Tomàs Víctor Cilleros-mañé Laia Just-Borràs marta Balanyà-segura Aleksandra Polishchuk Laura Nadal marta Tomàs Carolina silvera-simón manel m.santafé maria A.Lanuza Unitat d’Histologia i Neurobiologia(UHNeurob) Facultat de Medicina i Ciències de la SalutUniversitat Rovira i VirgiliReusSpain

During the development of the nervous system,there is an overproduction of neurons and *** competition between neighboring nerve endings and synapses performing different activity levels leads to their elimination or *** have extensively studied the involvement of the brain-derived neurotrophic factor-Tropomyosin-related kinase B receptor neurotrophic retrograde pathway,at the neuromuscular junction,in the axonal development and synapse elimination process versus the synapse *** purpose of this review is to describe the neurotrophic influence on developmental synapse elimination,in relation to other molecular pathways that we and others have found to regulate this *** particular,we summarize our published results based on transmitter release analysis and axonal counts to show the different involvement of the presynaptic acetylcholine muscarinic autoreceptors,coupled to downstream serine-threonine protein kinases A and C(PKA and PKC)and voltage-gated calcium channels,at different nerve endings in developmental *** dynamic changes that occur simultaneously in several nerve terminals and synapses converge across a postsynaptic site,influence each other,and require careful studies to individualize the mechanisms of specific *** describe an activity-dependent balance(related to the extent of transmitter release)between the presynaptic muscarinic subtypes and the neurotrophin-mediated TrkB/p75NTR pathways that can influence the timing and fate of the competitive interactions between the different axon *** downstream displacement of the PKA/PKC activity ratio to lower values,both in competing nerve terminals and at postsynaptic sites,plays a relevant role in controlling the elimination of supernumerary ***,calcium entry through L-and P/Q-subtypes of voltage-gated calcium channels(both channels are present,together with the N-type channel in developing nerve terminals)contributes to red

关键词： acetylcholine release adenosine receptors axonal competition brain-derived neurotrophic factor calcium channels motor end-plate muscarinic acetylcholine receptors postnatal synapse elimination serine kinases tropomyosin-related kinase receptorB

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solution‑Processed Thin Film Transparent Photovoltaics:Present Challenges and Future Development

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Nano-micro Letters 2025年第2期17卷 566-600页

作者： Tianle Liu munerah m.s.Almutairi Jie ma Aisling stewart Zhaohui Xing mengxia Liu Bo Hou Yuljae Cho Um-sJTU Joint Institute Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China school of Physics and Astronomy Cardiff UniversityCardiff CF243AAWalesUK Department of Electrical and Computer Engineering Yale UniversityNew HavenCT 06511USA Energy sciences Institute Yale UniversityWest HavenCT 06516USA Future Photovoltaics Research Center Global Institute of Future TechnologyShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

Electrical energy is essential for modern society to sustain economic *** soaring demand for the electrical energy,together with an awareness of the environmental impact of fossil fuels,has been driving a shift towards the utilization of solar ***,traditional solar energy solutions often require extensive spaces for a panel installation,limiting their practicality in a dense urban *** overcome the spatial constraint,researchers have developed transparent photovoltaics(TPV),enabling windows and facades in vehicles and buildings to generate electric *** TPV advancements are focused on improving both transparency and power output to rival commercially available silicon solar *** this review,we first briefly introduce wavelength-and non-wavelengthselective strategies to achieve *** of merit and theoretical limits of TPVs are discussed to comprehensively understand the status of current TPV *** we highlight recent progress in different types of TPVs,with a particular focus on solution-processed thin-film photovoltaics(PVs),including colloidal quantum dot PVs,metal halide perovskite PVs and organic *** applications of TPVs are also reviewed,with emphasis on agrivoltaics,smart windows and ***,current challenges and future opportunities in TPV research are pointed out.

关键词： Transparent semiconductors solution-processable transparent solar cell Emerging solar cell materials Buildingintegrated photovoltaics

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