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Machine Learning-based Electric Load Forecasting for Peak Demand Control in Smart Grid

Computers, Materials & Continua 2023年第3期74卷 4785-4799页

作者： Manish Kumar Nitai pal Department of Electrical Engineering Indian Institute of Technology(ISM)Dhanbad826004India Department of Nuclear Science&Technology Pandit Deendayal Energy UniversityGandhinagarIndia

Increasing energy demands due to factors such as population,globalization,and industrialization has led to increased challenges for existing energy *** ways of energy generation and energy consumption like smart grids and smart homes are implemented to face these challenges with reliable,cheap,and easily available sources of *** integration of renewable energy and other clean distributed generation is increasing continuously to reduce carbon and other air pollutants *** the integration of distributed energy sources and increase in electric demand enhance instability in the ***-term electrical load forecasting reduces the grid fluctuation and enhances the robustness and power quality of the *** load forecasting in advance on the basic historical data modelling plays a crucial role in peak electrical demand control,reinforcement of the grid demand,and generation balancing with cost *** accurate forecasting of electrical data is a very challenging task due to the nonstationary and nonlinearly nature of the *** learning and artificial intelligence have recognized more accurate and reliable load forecastingmethods based on historical load *** purpose of this study is to model the electrical load of Jajpur,Orissa Grid for forecasting of load using regression type machine learning algorithms Gaussian process regression(GPr).The historical electrical data and whether data of Jajpur is taken for modelling and simulation and the data is decided in such a way that the model will be considered to learn the connection among past,current,and future dependent variables,factors,and the relationship among *** on this modelling of data the network will be able to forecast the peak load of the electric grid one day *** study is very helpful in grid stability and peak load control management.

关键词： Artificial intelligence electric load forecasting machine learning peak-load control renewable energy smart grids

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Development of carbon composite iron ore micropellets by using the microfines of iron ore and carbon-bearing materials in iron making

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International Journal of Minerals,Metallurgy and Materials 2015年第2期22卷 132-140页

作者： Jagannath pal Satadal Ghorai Avimanyu Das National Metallurgical Laboratory Council of Scientific and Industrial Research

Iron ore microfines and concentrate have very limited uses in sintering processes. They are used in pelletization; however, this process is cost intensive. Furthermore, the microfines of non-coking coal and other carbon-bearing materials, e.g., blast-furnace flue dust （BFD） and coke frees, are not used extensively in the metallurgical industry because of operational difficu]ties and handling problems. In the present work, to utilize these microfines, coal composite iron oxide micropellets （2-6 mm in size） were produced through an innovative technique in which lime and molasses were used as binding materials in the micropellets. The micropellets were subsequently treated with CO2 or the industrial waste gas to induce the chemical bond formation. The results show that, at a very high carbon level of 22wt% （38wt% coal）, the cold crushing strength and abrasion index of the micropellets are 2.5-3 kg/cm2 and 5wt%-9wt%, respectively; these values indicate that the pellets are suitable for cold handling. The developed micropellets have strong potential as a heat source in smelting reduction in iron making and sintering to reduce coke breeze. The micropellets produced with BFD and coke fines （8wt%-12wt%） were used in iron ore sin- tering and were observed to reduce the coke breeze consumption by 3%-4%. The quality of the produced sinter was at par with that of the conventional blast-furnace sinter.

关键词： ironmaking microfines non-coking coal iron ore concentrates micropellets pelletizing, waste utilization

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Influence of A-site cation disorder on structural and magnetocaloric properties of Nd_(0.7–x)La_xSr_(0.3)MnO_3(x=0.0, 0.1, 0.2 & 0.3)

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Journal of rare Earths 2015年第10期33卷 1072-1080页

作者： Sudharshan Vadnala Prem pal Saket Asthana Department of Physics Indian Institute of Technology Hyderabad

In the present research, the influence of A-site ionic size disorder on structural, magnetic and magnetocaloric properties of Ndo.7_xtaxSr0.3MnO3 （for x=0.0, 0.1, 0.2 ＆ 0.3） compounds were investigated. These compounds were synthesized by solid state reaction route and crystallized in orthorhombic structure with Pnma space group. An average ionic radius 〈rA〉 increased with La-substitution which influenced the physical properties such as the magnetic entropy varying from 4.78 J/kg.K （for x-=0.0） to 3.55 J/kg.K （for x=0.3） and the maximum magnetization at 5 K changing from 3.92 μB （for x=0.0） to 3.59 μB （for x=0.3）. The change in maximum magnetic entropy decreased with increase of A-site average ionic radius. The decrease in magnetic entropy indicated the suppression of lattice disorder that influenced the spin-lattice coupling. The ferromagnetic transition temperature shifted toward room temperature with La substitution. As 〈rA〉 increased, the phase transition changed from first order （for x-=0.0） to second order （for x≥ 0.1） and the refrigeration capacity increased to a significant level. The modest change in magnetic entropy over a wide range of transition temperature might be useful for future active magnetic refrigeration technology.

关键词： manganites magnetocaloric effect relative cooling Curie temperature rare earths

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Hybrid fuzzy-grey-Taguchi based multi weld quality optimization of Al/Cu dissimilar friction stir welded joints

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Advances in Manufacturing 2016年第3期4卷 237-247页

作者： Prakash Kumar Sahu Kanchan Kumari Sukhomay pal Surjya K. pal Department of Mechanical Engineering Indian Institute of Technology Guwahati Guwahati Assam 781039 India Department of Mechanical Engineering Indian Institute of Technology Kharagpur Kharagpur West Bengal 721302India

Nowadays aluminum alloys substitute copper in various applications for weight reduction and cost savings. This paper presents fuzzy-grey Taguchi technique for optimization of friction stir welding condition with seven weld quality attributes of dissimilar A1/Cu joints with the minimum number of experiments for effective productivity and product quality. Taguchi＇s L16 orthogonal array was used to conduct the experiments. Fuzzy inference system was adapted to convert the multi quality characteristics into an equivalent single quality parameter which was opti- mized by Taguchi approach. Four parameters namely, rotational speed of the tool, welding speed, plunging depth and tool pin offset were varied in four levels for investi- gating the effects on the process output like tensile strength, compressive strength, percentage of elongation, bending angle, weld bead thickness and average hardness at the nugget zone. The hardness profile is consistent with the variation of the structure within the nugget zone （NZ）. Confirmation experiment was conducted using predicted optimum parameter setting and it showed that the proposed approach could efficiently optimize weld quality parame- ters. The microstructural analyses were also performed for all the zones of the joints at both Al and Cu sides. It revealed the finer grain size at the NZ compared to the base material due to dynamic recrystallization.

关键词： Dissimilar friction stir welding - Grey relational analysis. Fuzzy inference system Multi-response optimization Mechanical properties Microstructural analysis

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Downstream Decreasing Channel Capacity of a Monsoon-dominated Bengal Basin river: A Case Study of Dwarkeswar river, Eastern India

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Chinese Geographical Science 2020年第5期30卷 900-920页

作者： MALIK Sadhan pal Subodh Chandra Department of Geography University of BurdwanBurdwan 713104West BengalIndia

Downstream changes in channel morphology and flow over the ephemeral Dwarkeswar river in the western part of the Bengal Basin, eastren India were investigated. The river stretches from the Proterozoic Granite Gneiss Complex to the recent Holocene alluvium, forming three distinctive geomorphological regions across the river basin: the pediplane and upper and lower alluvial areas. Sixty cross-sections from throughout the main trunk stream were surveyed and the bankfull width, depth, cross-sectional area, and maximum depth were measured. Sediment samples from each location were studied and the flow velocity, stream power, Manning’s roughness coefficient, and shear stress were estimated. The results show that the bankfull channel cross-section area, width, width-to-depth ratio, and channel capacity increased between the beginning and middle of the river. Thereafter, the size of the river started to decrease in the lower alluvial area. This was characterized by gentle gradients, cohesive bank materials with grass cover, and channel switching. Within the lower part of the river, the channel capacity was observed to diminish as the drainage area increased. This increased the bankfull flow frequency and accelerated large floodwater losses in the floodplain via overbank flows and floodways.

关键词： bankfull channel width bankfull discharge Dwarkeswar river flat alluvial plain channel degradation overbank flow and flood

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Microscopic mechanism of unusual lattice thermal transport in TlInTe_(2)

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npj Computational Materials 2021年第1期7卷 1-8页

作者： Koushik pal Yi Xia Chris Wolverton Department of Materials Science and Engineering Northwestern UniversityEvanstonIL 60208USA

We investigate the microscopic mechanism of ultralow lattice thermal conductivity(κl)of TlInTe_(2)and its weak temperature dependence using a unified theory of lattice heat transport,that considers contributions arising from the particle-like propagation as well as wave-like tunneling of *** we use the Peierls–Boltzmann transport equation(PBTE)to calculate the particlelike contributions(κl(PBTE)),we explicitly calculate the off-diagonal(OD)components of the heat-flux operator within a firstprinciples density functional theory framework to determine the contributions(κl(OD))arising from the wave-like tunneling of *** each temperature,T,we anharmonically renormalize the phonon frequencies using the self-consistent phonon theory including quartic anharmonicity,and utilize them to calculateκl(PBTE)andκl(OD).With the combined inclusion ofκl(PBTE),κl(OD),and additional grain-boundary scatterings,our calculations successfully reproduce the experimental *** analysis shows that large quartic anharmonicity of TlInTe_(2)(a)strongly hardens the low-energy phonon branches,(b)diminishes the three-phonon scattering processes at finite T,and(c)recovers the weaker than T^(−1) decay of the measuredκl.

关键词： lattice phonon harmonic

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Identification of high-dielectric constant compounds from statistical design

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npj Computational Materials 2022年第1期8卷 1396-1405页

作者： Abhijith Gopakumar Koushik pal Chris Wolverton Department of Materials Science and Engineering Northwestern University2220 Campus DriveEvanstonIL60208USA

The discovery of high-dielectric materials is crucial to increasing the efficiency of electronic devices and ***,we report three previously unexplored materials with very high dielectric constants(69rge band gaps(2.9reening materials databases using statistical optimization algorithms aided by artificial neural networks(ANN).Two of these new dielectrics are mixed-anion compounds(Eu_(5)SiCl_(6)O_(4)and HoClO)and are shown to be thermodynamically stable against common semiconductors via phase diagram *** also uncovered four other materials with relatively large dielectric constants(20raining-data are obtained from the Materials Project,the search-space consists of materials from the Open Quantum Materials Database(OQMD)—demonstrating a successful implementation of cross-database materials ***,we report the dielectric properties of 17 materials calculated using ab initio calculations,that were selected in our design *** dielectric materials with high-dielectric properties predicted in this work open up further experimental research opportunities.

关键词： dielectric high constant

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Fabrication of core-shell PLGA/PLA-pNIPAM nanocomposites for improved entrapment and release kinetics of antihypertensive drugs

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Particuology 2018年第5期16卷 169-176页

作者： Tanushree Basu Bonamali pal Satnam Singh School of Chemistry and Biochemistry Thapar lnstitute of Engineering and TechnologyPatiala 147004Punjablndia

Polylactic acid (PLA)and poly(lactic-co-glycolic)acid (PLGA)are two commonly applied biodegrad- able polymers for the preparation of nanocomposites used in drug-delivery ***,these polymers lack desirable attributes such as resistance to aggregation during long-term storage due to *** improve their efficacy,in this work,PLA and PLGA were encapsulated within a shell of poly(N-isopropylacrylamide)(pNIPAM)using a single emulsion technique followed by an aqueous free radical precipitation polymerisation process,yielding core-shell PLA/PLGA-pNIPAM nanocomposites. The nanocomposites were cbaracterised using zeta potential,dynamic light scattering,and transmission electron microscopy analyses and were further applied as a delivery system for ramipril,an antihypertensive *** drug-loaded PLGA-pNIPAM core-shell nanoparticles exhibited a higher drug content (91%)and entrapment efficiency (78%)than their PLA *** in vitro release study of the formulations at pH 7.3in phosphate-buffered saline indicated that PLGA was more efficient than PLA with a sustained release of 86% of ramipril from the polymer matrix within ***,to determine the release kinetics,the data were fitted to Korsmeyer-Peppas and Higuchi models;the release of ramipril from the polymer matrix followed zero-order rate kinetics and an anomalous (non-Fickian)diffusion mechanism.

关键词： Poly(lactic-co-glycolic)acid Polylactic acid Poly(N-isopropylacrylamide) Antihypertensive drug Entrapment efficiency Drug release

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Investigation of point defect evolution and Voronoi cluster analysis for magnesium during nanoindentation

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Journal of Magnesium and Alloys 2023年第3期11卷 1029-1042页

作者： Pragyan Goswami Snehanshu pal Manoj Gupta Department of Metallurgical and Materials Engineering National Institute of TechnologyRourkelaOdisha 769008India Department of Mechanical Engineering National University of SingaporeSingapore 117575Singapore

The present study investigates the effect of nanoindentation on single-crystal magnesium specimens using the embedded-atom method potential in molecular dynamics *** are done under dynamic loading where the load-bearing capacity and change in the structural configuration are studied on the basal(Z-direction)and two prismatic planes(X-and Y-directions)with varying indenter *** investigation of structural evolution is done using atomic displacement analyses to measure the net magnitude of displacement,atomic strain analyses to evaluate the shear strain developed in the process,and Wigner-Seitz defect analyses to calculate the total vacancies at varied ***,Voronoi analyses are done when indented on the basal plane to identify the cluster distribution at different planar depths of the *** the analyses,it has been observed that the load-bearing capacity of the specimen varies with the indentation velocity and the direction of indentation on the ***,it is seen that the observed shear and total atomic displacement in the Z-direction is the least in comparison to the other two *** partial dislocation 1/3is seen to be majorly present and the population of dislocation loops is more abundant for lower indenter ***,clustersandare the major indices developed during nanoindentation on the basal plane where they exhibit symmetrical distribution as observed from the Z-direction.

关键词： Magnesium Molecular dynamics Nanoindentation Voronoi analysis Wigner-Seitz defect analysis

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Purification and concentration of gluconic acid from an integrated fermentation and membrane process using response surface optimized conditions

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Frontiers of Chemical Science and Engineering 2019年第1期13卷 152-163页

作者： Parimal pal ramesh Kumar Subhamay Banerjee Environment and Membrane Technology Laboratory Chemical Engineering Department National Institute of Technology Durgapur West Bengal 713209 India Department of Chemistry The University of Burdwan West Bengal 713104 India

A response surface method was used to optimize the purification and concentration of gluconic acid from fermentation broth using an integrated membrane system. Gluconobacter oxydans was used for the bioconversion of the glucose in sugarcane juice to gluconic acid (concentration 45 g·L^-1) with a yield of 0.9 g·g^-1. The optimum operating conditions, such as trans-membrane pressure (TMP), pH, cross-flow rate (CFr) and initial gluconic acid concentration, were determined using response surface methodology. Five different types of polyamide nanofiltration membranes were screened and the best performing one was then used for downstream purification of gluconic acid in a flat sheet cross-flow membrane module. Under the optimum conditions (TMP=12 bar and CFr=400 L·h^-1), this membrane retained more than 85% of the unconverted glucose from the fermentation broth and had a gluconic acid permeation rate of 88% with a flux of 161 L·m^-2·h^-1. Using response surface methods to optimize this green nanofiltration process is an effective way of controlling the production of gluconic acid so that an efficient separation with high flux is obtained.

关键词： gluconic acid optimized nanofiltration green processing process intensification

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