检索结果-南通市图书馆

A Levenberg–Marquardt Based Neural Network for Short-Term Load Forecasting

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第4期75卷 1783-1800页

作者： Saqib Ali Shazia riaz Safoora Xiangyong Liu Guojun Wang School of Computer Science Guangzhou University Guangzhou510006Guangdong ProvinceChina Department of Computer Science University of AgricultureFaisalabad38000Pakistan Department of Computer Science Government College Women UniversityFaisalabad38000Pakistan

Short-term load forecasting (STLF) is part and parcel of theefficient working of power grid stations. Accurate forecasts help to detect thefault and enhance grid reliability for organizing sufficient energy *** ranges from an hour ahead prediction to a day ahead prediction. Variouselectric load forecasting methods have been used in literature for electricitygeneration planning to meet future load demand. A perfect balance regardinggeneration and utilization is still lacking to avoid extra generation and misusageof electric load. Therefore, this paper utilizes Levenberg–Marquardt(LM) based Artificial Neural Network (ANN) technique to forecast theshort-term electricity load for smart grids in a much better, more precise,and more accurate manner. For proper load forecasting, we take the mostcritical weather parameters along with historical load data in the form of timeseries grouped into seasons, i.e., winter and summer. Further, the presentedmodel deals with each season’s load data by splitting it into weekdays andweekends. The historical load data of three years have been used to forecastweek-ahead and day-ahead load demand after every thirty minutes makingload forecast for a very short period. The proposed model is optimized usingthe Levenberg-Marquardt backpropagation algorithm to achieve results withcomparable statistics. Mean Absolute Percent Error (MAPE), Root MeanSquared Error (RMSE), R2, and R are used to evaluate the model. Comparedwith other recent machine learning-based mechanisms, our model presentsthe best experimental results with MAPE and R2 scores of 1.3 and 0.99,respectively. The results prove that the proposed LM-based ANN modelperforms much better in accuracy and has the lowest error rates as comparedto existing work.

关键词： Short-term load forecasting artificial neural network power generation smart grid Levenberg-Marquardt technique

Comprehensive Optimization-based Techno-economic Assessment of Hybrid Renewable Electricity-hydrogen Virtual Power Plants

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 553-566页

作者： James Naughton Shariq riaz Michael Cantoni Xiao-Ping Zhang Pierluigi Mancarella University of Melbourne(UoM) Australia University of Birmingham(UoB) UK University of Manchester UK

Hydrogen is being considered as an important option to contribute to energy system ***,currently its production from renewables is expensive compared with the methods that utilize fossil *** paper proposes a comprehensive optimization-based techno-economic assessment of a hybrid renewable electricity-hydrogen virtual power plant(VPP)that boosts its business case by co-optimizing across multiple markets and contractual services to maximize its profits and eventually deliver hydrogen at a lower net ***,multiple possible investment options are *** studies of VPP placement in a renewable-rich,congested area of the Australian network and based on real market data and relevant sensitivities show that multi-market participation can significantly boost the business case for cleaner *** highlights the importance of value stacking for driving down the cost of cleaner *** to the participation in multiple markets,all VPP configurations considered are found to be economically viable for a hydrogen price of 3 AUD$/kg(2.25 USD$/kg),which has been identified as a threshold value for Australia to export hydrogen at a competitive ***,if the high price volatility that has been seen in gas prices in 2022(and by extension electricity prices)continues,the flexibility of hybrid VPPs will further improve their business cases.

关键词： Virtual power plant techno-economic assessment electrolyser flexibility hydrogen multi-energy system optimal power flow

MHD Maxwell Fluid with Heat Transfer Analysis under Ramp Velocity and Ramp Temperature Subject to Non-Integer Differentiable Operators

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2021年第2期126卷 821-841页

作者： Thabet Abdeljawad Muhammad Bilal riaz Syed Tauseef Saeed Nazish Iftikhar Department of Mathematics and General Sciences Prince Sultan UniversityRiyadh12435Saudi Arabia Department of Medical Research China Medical UniversityTaichung404Taiwan Department of Computer Science and Information Engineering Asia UniversityTaichung41354Taiwan Department of Mathematics University of Management and TechnologyLahore54770Pakistan Institute for Groundwater Studies(IGS) University of the Free StateBloemfontein9301South Africa Department of Science&Humanities National University of Computer and Emerging SciencesLahore54000Pakistan

The main focus of this study is to investigate the impact of heat generation/absorption with ramp velocity and ramp temperature on magnetohydrodynamic(MHD)time-dependent Maxwell fluid over an unbounded plate embedded in a permeable ***-dimensional parameters along with Laplace transformation and inversion algorithms are used to find the solution of shear stress,energy,and velocity ***,new fractional differential operators are used to define ramped temperature and ramped *** obtained analytical solutions are plotted for different values of emerging *** time derivatives are used to analyze the impact of fractional parameters(memory effect)on the dynamics of the *** making a comparison,it is observed that the fractional-order model is best to explain the memory effect as compared to classical *** results suggest that the velocity profile decrease by increasing the effective Prandtl *** existence of an effective Prandtl number may reflect the control of the thickness of momentum and enlargement of thermal *** incremental value of the M is observed for a decrease in the velocity field,which reflects to control resistive ***,it is noted that the Atangana-Baleanu derivative in Caputo sense(ABC)is the best to highlight the dynamics of the *** influence of pertinent parameters is analyzed graphically for velocity and energy *** for skin friction and Nusselt number are also derived for fractional differential operators.

关键词： MHD Maxwell fluid fractional differential operator heat generation absorption thermal effect non-singular kernels

VMR:Virtual Machine Replacement Algorithm for QoS and Energy Efficiency in Cloud Data Centers

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

VMR:Virtual Machine Replacement Algorithm for QoS and Energy...

作者： riaz ALI 上海交通大学

学位级别：硕士

The Cloud computing paradigm facilitates customers to have on demand access to cloud *** leads to a large amount of physical machines and data centers in order to satisfy the requirements of customers,which are constantly on the *** progress in the quantity of running physical machines is directly proportionate to the rise in the energy ***,saving of energy utilization has become one of the foremost challenges of Cloud data *** minimize the energy consumption,a new technique with an adaptive threshold virtual machine replacement（VMR）algorithm that decreases the number of active physical machines in the Cloud data center was *** scheme is being broadly applied across Information Technology infrastructure owing to its many benefits such as efficient resource utilization,ease of management,minimized energy *** machine is the basic unit of scheduling for saving energy consumption in Cloud data *** replacement algorithm expands the performance of the whole system by efficiently balancing the load through physical *** is an important feature for Cloud computing data centers that has recently attracted considerable *** consumption is not measured in most of the migration *** our thesis,we design a novel energy efficient approach that aims to minimize the energy consumption without reducing the Quality of Service（QoS）for users deadline requirements in Cloud data *** also propose a VM replacement algorithm for QoS and energyawareness in cloud data *** experimentally match the performance of our algorithm with other advanced algorithms（i.e.,the random algorithm and the first-fit algorithm）.The experimental results illustrate that our solution improves first fit and random algorithms by twice and four times respectively,and is also energy efficient with reliable QoS while ensuring high level of Service Level Agreement（SLA）.

关键词：

Pythagorean m-polar fuzzy topology with TOPSIS approach in exploring most effectual method for curing from COVID-19

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2020年第8期13卷 65-96页

作者： Khalid Naeem Muhammad riaz Xindong Peng Deeba Afzal Department of Mathematics&Statistics The University of Lahore Pakistan Department of Mathematics University of the Punjab LahorePakistan School of Information Science and Engineering Shaoguan University Shaoguan 512005 GuangdongP.R.China

The corona virus disease 2019(COVID-19)has emerged as a fatal *** deadly virus has taken the whole world into clutches and many people have embraced death due to this invincible *** death toll is rising with every tick of *** aspiration behind this article is to discover the preventive measure that should be taken to cope with this intangible *** study the prime notions of novel sort of topology accredited Pythagorean m-polar fuzzy topology along with its prime *** slightly amend the well-acknowledged multi-criteria decision analysis tool TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution)to befit the proposed multi-criteria group decision making(MCGDM)problem of exploring the most effective method for curing from COVID-19 employing the proposed model.

关键词： Pythagorean m-polar fuzzy topology COVID-19 MCGDM TOPSIS

From Markers to Genome Based Breeding in Horticultural Crops: An Overview

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Phyton-International Journal of Experimental Botany 2020年第2期89卷 183-204页

作者： riaz Ahmad Muhammad Akbar Anjum Rashad Mukhtar Balal Department of Horticulture Bahauddin Zakariya UniversityMultan60800Pakistan Department of Horticulture University of SargodhaSargodha40100Pakistan

Molecular markers,genome sequencing and genome editing are considered as efficient tools to accomplish demands of plant breeders for crop improvement *** and biochemical markers have not been extensively used as these are greatly influenced by environmental *** molecular markers and sequencing techniques are routinely used in evaluation of genetic diversity and evolutionary relationship,accurate classification or taxonomy,characterization of germplasm,identification of hybrids and phylogenetic *** and undesired traits controlled by genes can be identified through different molecular markers technology all over the *** molecular markers are well established and have successfully been used for genetic analysis of different plants during last two ***,advanced techniques of molecular markers have been developed,which provide advance genotypic platform and tends to merge valuable properties of many basic *** class of markers also includes little modifications in basic methods to enhance the sensitivity and ***,plant breeders and strong investment are strongly linked for crop improvement *** review provides detailed description of different markers,genome sequencing and genome editing that have been utilized for different genetic analyses of horticultural *** editing technologies based on CRISPR/Cas are now successfully applied in horticultural ***,current review encourages the use of molecular marker technology for DNA fingerprinting,bar coding,sequencing,re-sequencing QTL mapping,genome association mapping and genome *** is need of time that diverse germplasm should be identified with different molecular techniques and further utilized in breeding purposes to achieve higher yielding and resistant cultivars against biotic and abiotic stresses.

关键词： Genetic analysis genome sequencing genome editing molecular markers plant breeders

Spherical Linear Diophantine Fuzzy Sets with Modeling Uncertainties in MCDM

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2021年第3期126卷 1125-1164页

作者： Muhammad riaz Masooma Raza Hashmi Dragan Pamucar Yu-Ming Chu Department of Mathematics University of the PunjabLahore54590Pakistan Department of Logistics Military academyUniversity of DefenceBelgrade11000Serbia Department of Mathematics Huzhou UniversityHuzhou313000China Hunan Provincial Key Laboratory of MathematicalModeling and Analysis in Engineering Changsha University of Science&TechnologyChangsha410114China

The existing concepts of picture fuzzy sets(PFS),spherical fuzzy sets(SFSs),T-spherical fuzzy sets(T-SFSs)and neutrosophic sets(NSs)have numerous applications in decision-making problems,but they have various strict limitations for their satisfaction,dissatisfaction,abstain or refusal *** relax these strict constraints,we introduce the concept of spherical linearDiophantine fuzzy sets(SLDFSs)with the inclusion of reference or control parameters.A SLDFSwith parameterizations process is very helpful formodeling uncertainties in themulti-criteria decisionmaking(MCDM)*** can classify a physical systemwith the help of reference *** discuss various real-life applications of SLDFSs towards digital image processing,network systems,vote casting,electrical engineering,medication,and selection of optimal *** show some drawbacks of operations of picture fuzzy sets and their corresponding aggregation *** new operations on picture fuzzy sets are also *** fundamental operations on SLDFSs and different types of score functions of spherical linear Diophantine fuzzy numbers(SLDFNs)are *** aggregation operators named spherical linear Diophantine fuzzy weighted geometric aggregation(SLDFWGA)and spherical linear Diophantine fuzzy weighted average aggregation(SLDFWAA)operators are developed for a robust MCDM *** application of the proposed methodology with SLDF information is *** comparison analysis of the final ranking is also given to demonstrate the validity,feasibility,and efficiency of the proposed MCDM approach.

关键词： Spherical linear Diophantine fuzzy set new operations of picture fuzzy sets spherical linear Diophantine fuzzy weighted geometric aggregation operator spherical linear Diophantine fuzzy weighted average aggregation operator MCDM

Static and adaptive feedback control for synchronization of different chaotic oscillators with mutually Lipschitz nonlinearities

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2014年第11期23卷 223-231页

作者： Muhammad riaz Muhammad Rehan Keum-Shik Hong Muhammad Ashraf Haroon Ur Rasheed Department of Electrical Engineering Pakistan Institute of Engineering and Applied Sciences (PIEAS) Islamabad Pakistan Department of Electronics Engineering Mohammad Ali Jinnah University Department of Cogno-Mechatronics Engineering and School of Mechanical Engineering Pusan National University 2 Busandaehak-ro Geumjeong-gu Busan 609-735 Republic of Korea Department of Electronics Engineering Mohammad Ali Jinnah University Islamabad Pakistan

This paper addresses the control law design for synchronization of two different chaotic oscillators with mutually Lipschitz nonlinearities. For analysis of the properties of two different nonlinearities, an advanced mutually Lipschitz condition is proposed. This mutually Lipschitz condition is more general than the traditional Lipschitz condition. Unlike the latter, it can be used for the design of a feedback controller for synchronization of chaotic oscillators of different dynamics. It is shown that any two different Lipschitz nonlinearities always satisfy the mutually Lipschitz condition. Applying the mutually Lipschitz condition, a quadratic Lyapunov function and uniformly ultimately bounded stability, easily designable and implementable robust control strategies utilizing algebraic Riccati equation and linear matrix inequalities, are derived for synchronization of two distinct chaotic oscillators. Furthermore, a novel adaptive control scheme for mutually Lipschitz chaotic systems is established by addressing the issue of adaptive cancellation of unknown mismatch between the dynamics of different chaotic systems. The proposed control technique is numerically tested for synchronization of two different chaotic Chua＇s circuits and for obtaining identical behavior between the modified Chua＇s circuit and the R6ssler system.

关键词： control theory and feedback synchronization mutually Lipschitz nonlinearity adaptive controlsystem

Mapping of cropland,cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Geo-Spatial Information Science 2023年第3期26卷 302-320页

作者： Aqil Tariq Jianguo Yan Alexandre S.Gagnon Mobushir riaz Khan Faisal Mumtaz State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina School of Biological and Environmental Sciences Liverpool John Moores UniversityLiverpoolUK School of Environmental Science Charles Sturt UniversityAlburyAustralia State Key Laboratory of Remote Sensing Sciences Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences(UCAS) BeijingChina

Mapping and monitoring the distribution of croplands and crop types support policymakers and international organizations by reducing the risks to food security,notably from climate change and,for that purpose,remote sensing is routinely ***,identifying specific crop types,cropland,and cropping patterns using space-based observations is challenging because different crop types and cropping patterns have similarity spectral *** study applied a methodology to identify cropland and specific crop types,including tobacco,wheat,barley,and gram,as well as the following cropping patterns:wheat-tobacco,wheat-gram,wheat-barley,and wheat-maize,which are common in Gujranwala District,Pakistan,the study *** methodology consists of combining optical remote sensing images from Sentinel-2 and Landsat-8 with Machine Learning(ML)methods,namely a Decision Tree Classifier(DTC)and a Random Forest(RF)*** best time-periods for differentiating cropland from other land cover types were identified,and then Sentinel-2 and Landsat 8 NDVI-based time-series were linked to phenological parameters to determine the different crop types and cropping patterns over the study region using their temporal indices and ML *** methodology was subsequently evaluated using Landsat images,crop statistical data for 2020 and 2021,and field data on cropping *** results highlight the high level of accuracy of the methodological approach presented using Sentinel-2 and Landsat-8 images,together with ML techniques,for mapping not only the distribution of cropland,but also crop types and cropping patterns when validated at the county *** results reveal that this methodology has benefits for monitoring and evaluating food security in Pakistan,adding to the evidence base of other studies on the use of remote sensing to identify crop types and cropping patterns in other countries.

关键词： Sentinel-2 Random Forest cropland crop types cropping patterns Decision Tree Classifier