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A review and taxonomy of wind and solar energy forecasting methods based on deep learning

Energy and AI 2021年第2期4卷 136-160页

作者： Ghadah Alkhayat rashid mehmood Department of Computer Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia High Performance Computing Centre King Abdulaziz UniversityJeddah 21589Saudi Arabia

Renewable energy is essential for planet *** energy output forecasting has a significant impact on making decisions related to operating and managing power *** prediction of renewable energy output is vital to ensure grid reliability and permanency and reduce the risk and cost of the energy market and *** learning’s recent success in many applications has attracted researchers to this field and its promising potential is manifested in the richness of the proposed methods and the increasing number of *** facilitate further research and development in this area,this paper provides a review of deep learning-based solar and wind energy forecasting research published during the last five years discussing extensively the data and datasets used in the reviewed works,the data pre-processing methods,deterministic and probabilistic methods,and evaluation and comparison *** core characteristics of all the reviewed works are summarised in tabular forms to enable methodological *** current challenges in the field and future research directions are *** trends show that hybrid forecasting models are the most used in this field followed by Recurrent Neural Network models including Long Short-Term Memory and Gated Recurrent Unit,and in the third place Convolutional Neural *** also find that probabilistic and multistep ahead forecasting methods are gaining more ***,we devise a broad taxonomy of the research using the key insights gained from this extensive review,the taxonomy we believe will be vital in understanding the cutting-edge and accelerating innovation in this field.

关键词： Deep learning Renewable energy forecasting Solar energy Wind energy Taxonomy Hybrid methods

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Partial slip effect on non-aligned stagnation point nanofluid over a stretching convective surface

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Chinese Physics B 2015年第1期24卷 369-376页

作者： S.Nadeem rashid mehmood Noreen Sher Akbar Department of Mathematics Quaid-i-Azam University 45320Islamabad 44000Pakistan DBS&H CEMENational University of Sciences and TechnologyIslamabadPakistan

The present study inspects the non-aligned stagnation point nano fluid over a convective surface in the presence of partial slip. Two types of base fluids namely water and kerosene are selected with Cu nanoparticles. The governing physical problem is presented and transformed into a system of coupled nonlinear differential equations using suitable similarity transformations. These equations are then solved numerically using midpoint integration scheme along with Richardson extrapolation via Maple. Impact of relevant physical parameters on the dimensionless velocity and temperature profiles are portrayed through graphs. Physical quantities such as local skin frictions co-efficient and Nusselt numbers are *** is detected from numerical computations that kerosene-based nano fluids have better heat transfer capability compared with water-based nanofluids. Moreover it is found that water-based nanofluids offer less resistance in terms of skin friction than kerosene-based fluid. In order to authenticate our present study, the calculated results are compared with the prevailing literature and a considerable agreement is perceived for the limiting case.

关键词： partial slip non-aligned stagnation point nanofluid stretching convective surface

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One dimensional nickel phosphide polymorphic heterostructure as carbon-free functional support loading single-atom iridium for promoted electrocatalytic water oxidation

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Journal of Energy Chemistry 2023年第4期79卷 410-417页

作者： rashid mehmood Guifa Long Wenjun Fan Mingrun Li Lifang Liu Fuxiang Zhang StateKey Laboratory of Catalysis iChEMDalian Institute of Chemical PhysicsChinese Academy of SciencesDalian National Laboratory for Clean EnergyDalian 116023LiaoningChina Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China GuangxiKey Laboratory of Chemistry and Engineering of Forest Products School of Chemistry and Chemical EngineeringGuangxi Minzu UniversityNanning 530008GuangxiChina

Although conducting materials such as carbon nanotube and carbon fiber paper(CFP)have been extensively employed as support of electrocatalytic active sites,most of them are of poor catalytic functionality by themselves and undesirable stability during strong acid/alkaline environments or oxidation *** we report a novel one-dimensional(1D)nickel phosphide polymorphic heterostructure(denoted as NPPH)to work as one effective carbon-free functional support for loading of single-atom Ir water oxidation ***,the NPPH composed of both Ni12P5and Ni2P phases is not only active for robust alkaline water oxidation but also is of good stability and hydrophilicity for favorable loading of single-atom dispersed *** NPPH supported single-atom Ir electrocatalyst(Ir/NPPH)is found to exhibit remarkably superior water oxidation activity with respect to the NPPH itself or CFP supported single-atom Ir catalyst(Ir/CFP),demonstrating the synergetic promotion effect between NPPH and single-atom Ir ***,the NPPH supported single-atom Ir catalyst can bear alkaline water oxidation for over 120 h at current density of 50 mA cm^(-2).The NPPH developed here is expected as functional support to composite with other water oxidation catalysts,as may be an alternative strategy of developing highly efficient carbon-free electrocatalysts.

关键词： Oxygen evolution reaction Single atom catalyst Nickel phosphide Heterostructure One-dimensional

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Swimming of motile gyrotactic microorganisms and suspension of nanoparticles in a rheological Jeffery fluid with Newtonian heating along elastic surface

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Journal of Central South University 2021年第11期28卷 3279-3296页

作者： Siddra RANA rashid mehmood M.M.BHATTI Mohsan HASSAN Department of Mathematics Faculty of Basic Sciences University ofWahWah CanttPakistan Department of Mathematics Faculty of Natural SciencesHITEC UniversityTaxila CanttPakistan College of Mathematics and Systems Science Shandong University of Science and TechnologyQingdao 266590China Department of Mathematics Comsats University IslamabadLahore CampusPakistan

Bioconvection plays an inevitable role in introducing sustainable and environment-friendly fuel cell ***-mathematical modelling of such designs needs continuous refinements to achieve strong agreements in experimental and computational ***,microorganisms transport a miscellaneous palette of ingredients in manufacturing industrial goods particularly in fertilizer *** transfer characteristics of molecular structure are measured by a physical phenomenon which is allied with the transpiration of heat within *** by bioinspired fuel cells involved in near-surface flow phenomena,in the present article,we examine the transverse swimming of motile gyrotactic microorganisms numerically in a rheological Jeffery fluid near a stretching *** leading physical model is converted in a nonlinear system of ODEs through proper similarity alterations.A numerical technique called shooting method with R-K Fehlberg is applied via mathematical software and graphical presentations are *** influence of all relative physical constraints on velocity,temperature,concentration,and volume fraction of gyrotactic microorganisms is expressed *** is found that heat and mass flux at the surface as well as density of motile microorganism’s declines for Brownian motion and thermophoresis *** in tabular form is made with existing literature to validate the results for limiting cases with convective boundary conditions.

关键词： oblique stagnation point flow Jeffery fluid bioconvection swimming of motile gyrotactic nanoparticles

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Remote-controlled dexamethasone-duration on eye-surface with a micelle-magnetic nanoparticulate co-delivery system for dry eye disease

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Acta Pharmaceutica Sinica B 2024年第8期14卷 3730-3745页

作者： Qinxiang Zheng Chaoxiang Ge Kexin Li Longxin Wang Xiaoyu Xia Xiao Liu rashid mehmood Jianliang Shen Kaihui Nan Wei Chen Sen Lin National Engineering Research Center of Ophthalmology and Optometry Eye HospitalWenzhou Medical UniversityWenzhou 325027China National Clinical Research Center for Ocular Diseases Eye HospitalWenzhou Medical UniversityWenzhou 325027China Zhejiang Engineering Research Center for Tissue Repair Materials Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou 325000China School of Chemical Engineering UNSW SydneyHigh StreetBuilding E10KensingtonNSW 2052Australia Adult Cancer Program Lowy Cancer Research CentreUNSW SydneyCorner Botany&High StreetsKensingtonNSW 2052Australia

Dexamethasone(DEX)is used to treat ocular surface ***,regulating DEX duration in tears while preventing its absorption into the anterior chamber is critical for balancing its therapy effects and the side *** this study,a novel magnetic nanoparticle(MNP)-micelle(MC)codelivery system(MMDS)was *** MC moiety in the MMDS served as the carrier for DEX and the MNP part endowed the MMDS with magnetic-responsive *** extend its residency,the MMDS was magnetically attracted by an external magnet after instilling,which acted as a precorneal drug-depot enabling a sustainable release of DEX in *** combination of magnet treatment,the topical instillation of MMDS@DEX significantly prolonged the DEX-retention in tears and increased the DEX-concentration in the cornea and conjunctiva,as well as concurrently reduced the DEX-level in the aqueous humor,when compared with the commercial DEX eye drop *** combination of MMDS@DEX and magnet treatment exerted significantly better therapeutic effects against DED with smaller side effects than conventional treatments including DEX suspension,commercial DEX eye drops,as well as the MMDS@DEX treatment *** present work provided a new method for the effective delivery of DEX to ocular surface tissues while reducing its side effects,which will be beneficial to the treatments of a wide range of ocular surface diseases.

关键词： Magnetic nanoparticle Micelle Dexamethasone Eye drop Bioavailability Dry eye disease Cornea Conjunctiva

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Magnetohydrodynamic flow and heat transfer impact on ZnO-SAE50 nanolubricant flow over an inclined rotating disk

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Journal of Central South University 2019年第5期26卷 1146-1160页

作者： NAYAK M K mehmood rashid MAKINDE O D MAHIAN O CHAMKHA Ali J Department of Physics Radhakrishna Institute of Technology and EngineeringBhubaneswar-752057India Department of Mathematics Faculty of Natural ScienceHITEC University Taxila-47070Pakistan Faculty of Military Science Stellenbosch UniversityPrivate Bag X2Saldanha 7395South Africa Center for Advanced Technologies Ferdowsi University of MashhadMashhadIran School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China Mechanical Engineering Department Prince Sultan Endowment for Energy and EnvironmentPrince Mohammad Bin Fahd UniversityAl-Khobar 31952Saudi Arabia RAK Research and Innovation Center American University of Ras Al KhaimahP.O.Box 10021Ras Al KhaimahUnited Arab Emirates

The present article has been fine-tuned with the investigation of mixed convection Darcy-Forchheimer flow of ZnO-SAE50 oil nanolubricant over an inclined rotating disk under the influence of uniform applied magnetic field applied to various *** current study has been enriched with additional consideration of slip flow,thermal radiation,viscous dissipation,Joulian dissipation and internal *** view of augmentation of thermal conductivity of nanolubricant,a new micro-nano-convection model namely Patel model has been *** specialty of this model involves the effects of specific surface area and nano-convection due to Brownian motion of nanoparticles,kinetic theory based micro-convection,liquid layering and particle *** transformed governing equations have been solved numerically by using Runge-Kutta-Fehlberg *** analysis of the present study has shown that applied magnetic field,porosity of the medium,velocity slip and inertia coefficient account for the slowing down of radial as well as tangential flow of ZnO-SAE50 oil nanolubricant,thereby leading to an improvement in velocity and thermal boundary layers.

关键词： ZnO-SAE50 nanofluid Darcy-Forchheimer MHD flow thermal radiation velocity slip viscous dissipation internal heating

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Systematic Survey on Big Data Analytics and Artificial Intelligence for COVID-19 Containment

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Computer Systems Science & Engineering 2023年第11期47卷 1793-1817页

作者： Saeed M.Alshahrani Jameel Almalki Waleed Alshehri rashid mehmood Marwan Albahar Najlaa Jannah Nayyar Ahmed Khan Department of Computer Science College Computing and Information TechnologyShaqra UniversityShaqraSaudi Arabia Department of Computer Science College of Computer in Al-LithUmm Al-Qura UniversityMakkahSaudi Arabia High-Performance Computing Center King Abdulaziz UniversityJeddahSaudi Arabia

Artificial Intelligence(AI)has gained popularity for the containment of COVID-19 pandemic *** AI techniques provide efficient mechanisms for handling pandemic *** methods,protocols,data sets,and various validation mechanisms empower the users towards proper decision-making and procedures to handle the *** so many tools,there still exist conditions in which AI must go a long *** increase the adaptability and potential of these techniques,a combination of AI and Bigdata is currently gaining *** paper surveys and analyzes the methods within the various computational paradigms used by different researchers and national governments,such as China and South Korea,to fight against this *** process of vaccine development requires multiple medical *** process requires analyzing datasets from different parts of the *** learning and the Internet of Things(IoT)revolutionized the field of disease diagnosis and disease *** accurate observations from different datasets across the world empowered the process of drug development and drug *** overcome the issues generated by the pandemic,using such sophisticated computing paradigms such as AI,Machine Learning(ML),deep learning,Robotics and Bigdata is essential.

关键词： COVID-19 IoT artificial intelligence big data coronavirus deep learning robotics machine learning

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Spatiotemporal Analysis of Urban Sprawl and Its Contributions to Climate and Environment of Peshawar Using Remote Sensing and GIS Techniques

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Journal of Geographic Information System 2016年第2期8卷 137-148页

作者： rashid mehmood Syed Amer mehmood Muhammad Atif Butt Imtiyaz Younas Muhammad Adrees Department of Space Sciences University of the Punjab Lahore Pakistan Punjab University College of Information Technology University of the Punjab Lahore Pakistan

This research study predominantly emphases on spatiotemporal extensions of urban area of Peshawar;its adverse impacts and contributions to climate and environment during 1931 to 2011. To probe these interventions, meteorological data, Satellite’s temporal imagery of Landsat ETM+ and TM, anthropogenic and demographic secondary data were congregated. In relation to map out land cover changes, maximum likelihood classification algorithm and followed by change detection techniques were applied to study area. The outcome of this process was further subjected through Geographic Information System (GIS) overlay analysis which suggested a clear straggle in urban area. Auxiliary data (Population growth rate, transportation, electricity connections, etc.) also support the fact of urban area extension. This study proposes that severs contributions of massive heat energy and CO2 have been added to local climate and environment ensuing substantial increment in temperature drawn out from the trends. Consequently, Remote Sensing, GIS and allied data were found to be effective to gauge such variations. To eliminate anomalies in sprawl and environment, few suggestions and recommendation are made in latter part of this study.

关键词： Remote Sensing Geographic Information System (GIS) Landsat Anthropogenic Data Climate Change Detection Techniques

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Family and/or Friends? Gene Mapping at Crossroads

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American Journal of Plant Sciences 2014年第1期5卷 112-118页

作者： Muhammad Sajjad Sultan Habibullah Khan rashid mehmood Rana Center of Agricultural Biochemistry and Biotechnology (CABB) University of Agriculture Faisalabad Pakistan Department of Plant Breeding and Genetics Pir Mehr Ali Shah-Arid Agriculture University Rawalpindi Pakistan

Mapping gene(s) underlying a specific trait offers an opportunity to plant breeders to apply marker assisted selection. All gene mapping approaches except LD mapping use family based segregation populations developed by crossing two or more parents. These family based gene mapping approaches include simple interval mapping, composite interval mapping, multiple interval mapping and Bayesian mapping etc. Each approach has its own advantages and disadvantages based on type of population and underlying statistical model. Unlike family based approaches, LD mapping uses population of unrelated individuals which are like friends belonging to different family backgrounds. Relative pros and cons of family and friends based approaches make them complementary to each other. Family based approaches identify wide chromosomal region underlying the trait of interest with relatively lower markers density, and therefore, have low mapping resolution. Conversely, friends based LD mapping identifies chromosomal region of interest with higher resolution using higher marker density. The integration of family and friends based approaches addresses their respective pros and cons successfully to enhance mapping resolution for more valid application of marker assisted selection.

关键词： Family Based Mapping LD Mapping NAM

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Appraisal of Urban Heat Island and Its Impacts on Environment Using Landsat TM in Peshawar, Pakistan

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Advances in Remote Sensing 2017年第3期6卷 192-200页

作者： rashid mehmood Muhammad Atif Butt Syed Amer Mahmood Farhan Ali Department of Space Sciences University of the Punjab Lahore Pakistan College of Earth & Environmental Sciences University of the Punjab Lahore Pakistan

Last couple of decades witnessed a rapid escalation in urban temperature of Peshawar city and its neighboring localities. This alarming condition gave birth to climatic term Urban Heat Island (UHI) created drastic alteration in surface temperatures. In this study, thermal infrared remote sensing data has been employed to map out and monitor such micro-climatic variation in temperatures in land use/land cover exposed surface to the environment. To assess these outcomes resulting from human activities, Landsat TM data band 6 was subjected through ERDAS Imagine 2013. For further processing, ARC GIS helped a lot in making maps to pinpoint the heat island in and around the city. Moreover, a relationship of land surface temperature with urban sprawl, environmental and industrialization was established. This study has shown a substantial upsurge in temperature about 1 to 3 degrees. Urban sprawl and industrialization at the edges are accounting for these conditions. Urban and industrial data has also reinforced the fact being drawn from remotely sensed data. Hence, evaluation of Land surface temperature data captured through remote satellite has proven to be effective tool not only for monitoring and analyzing temperature but also for assessing its adverse impacts on the environment and climate.

关键词： Land Surface Temperature Urban Heat Island Thermal Infrared Landsat TM

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