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Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting

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ISBN: 9783038972860 9783038972877 Year: Pages: 250 DOI: 10.3390/books978-3-03897-287-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2018-10-19 11:45:03
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More accurate and precise energy demand forecasts are required when energy decisions are made in a competitive environment. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated. Examples include seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on. These forecasting models have resulted in an over-reliance on the use of informal judgment and higher expenses when lacking the ability to determine data characteristics and patterns. The hybridization of optimization methods and superior evolutionary algorithms can provide important improvements via good parameter determinations in the optimization process, which is of great assistance to actions taken by energy decision-makers.This book aimed to attract researchers with an interest in the research areas described above. Specifically, it sought contributions to the development of any hybrid optimization methods (e.g., quadratic programming techniques, chaotic mapping, fuzzy inference theory, quantum computing, etc.) with advanced algorithms (e.g., genetic algorithms, ant colony optimization, particle swarm optimization algorithm, etc.) that have superior capabilities over the traditional optimization approaches to overcome some embedded drawbacks, and the application of these advanced hybrid approaches to significantly improve forecasting accuracy.

Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

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ISBN: 9783038972921 9783038972938 Year: Pages: 186 DOI: 10.3390/books978-3-03897-293-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science --- General and Civil Engineering
Added to DOAB on : 2018-10-22 10:01:53
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The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is crucial that they are theoretically sound. In addition, more accurate or more precise energy demand forecasts are required when decisions are made in a competitive environment. Therefore, this is of special relevance in the Big Data era. These forecasts are usually based on a complex function combination. These models have resulted in over-reliance on the use of informal judgment and higher expense if lacking the ability to catch the data patterns. The novel applications of kernel methods and hybrid evolutionary algorithms can provide more satisfactory parameters in forecasting models. We aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards the development of HEAs with kernel methods or with other novel methods (e.g., chaotic mapping mechanism, fuzzy theory, and quantum computing mechanism), which, with superior capabilities over the traditional optimization approaches, aim to overcome some embedded drawbacks and then apply these new HEAs to be hybridized with original forecasting models to significantly improve forecasting accuracy.

Structural Prognostics and Health Management in Power & Energy Systems

Authors: --- --- --- --- et al.
ISBN: 9783039217663 / 9783039217670 Year: Pages: 218 DOI: 10.3390/books978-3-03921-767-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2020-01-30 16:39:46
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The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

Keywords

prognostics --- residual useful life --- similarity-based approach --- supporting vector machine (SVM) --- reliability --- non-probabilistic reliability index --- sensitivity analysis --- techno-economic assessments --- life cycle cost --- vibration transmission mechanism --- underground powerhouse --- lateral-river vibration --- low frequency tail fluctuation --- rotation of hydraulic generator --- vertical axis wind turbine --- structural health monitoring --- operational modal analysis --- stochastic subspace identification --- vibration test --- offshore structures --- oil and gas platforms --- offshore wind turbines --- retrofitting activities --- renewable energy --- dynamic analysis --- wind and wave analysis --- dynamic analysis of the structure --- wave–structure interaction (WSI) --- probabilistic analyses of stochastic processes and frequency --- data-driven --- machine learning --- deep learning --- DNN --- prognostic and Health Management --- lithium-ion battery --- wind turbines --- health monitoring --- fault detection --- optimized deep belief networks --- supervisory control and data acquisition system --- multioperation condition --- wind turbine blade --- full-scale static test --- neural networks --- strain prediction --- dynamic fuzzy reliability analysis --- extremum surface response method --- weighted regression --- turbine blisk --- fuzzy safety criterion --- lithium-ion battery --- remaining useful life --- regeneration phenomenon --- wavelet decomposition --- NAR neural network --- empirical mode decomposition --- analysis mode decomposition --- analysis-empirical mode decomposition --- mode mixing --- sifting stop criterion

Continuous Casting

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ISBN: 9783039213214 / 9783039213221 Year: Pages: 250 DOI: 10.3390/books978-3-03921-322-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Chemical Engineering
Added to DOAB on : 2019-08-28 11:21:27
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Continuous casting is an industrial process whereby molten metal is solidified into a semi-finished billet, bloom, or slab for subsequent rolling in finishing mills; it is the most frequently used process to cast not only steel, but also aluminium and copper alloys. Since its widespread introduction for steel in the 1950s, it has evolved to achieve improved yield, quality, productivity and cost efficiency. It allows lower-cost production of metal sections with better quality, due to the inherently lower costs of continuous, standardized production of a product, as well as providing increased control over the process through automation. Nevertheless, challenges remain and new ones appear, as ways are sought to minimize casting defects and to cast alloys that could originally only be cast via other means. This Special Issue of the journal ""Metals"" consists of 14 research articles that cover many aspects of experimental work and theoretical modelling related to the ongoing development of continuous casting processes.

Keywords

slab continuous casting --- hybrid simulation model --- uneven secondary cooling --- numerical simulation --- molten steel flow --- solidification --- inclusion motion --- inclusion entrapment --- billet continuous casting --- swirling flow tundish --- multiphase flow --- heat transfer --- mold --- continuous casting --- numerical simulation --- round bloom --- continuous casting --- final electromagnetic stirring --- electromagnetic field --- polycrystalline model --- pores --- inclusions --- mechanism --- beam blank --- crystal --- propagation --- asymptotic analysis --- numerical simulation --- continuous casting --- air mist spray cooling --- continuous casting --- heat flux --- HTC --- secondary cooling --- thin-slab cast direct-rolling --- austenite grain coarsening --- grain growth control --- liquid core reduction --- secondary cooling --- two-phase pinning --- annular argon blowing --- upper nozzle --- flow behavior --- argon gas distribution --- tundish --- continuous casting --- bulge deformation --- thermomechanical coupling --- segmented roller --- finite element analysis --- steel tundish --- baffle --- flow field --- velocity --- PIV --- multi-source information fusion --- data stream --- continuous casting --- roll gap value --- prediction --- global optimization --- support vector regression --- variational mode decomposition --- empirical mode decomposition --- support vector regression --- mold level --- continuous casting --- magnetohydrodynamics --- fluid flow --- bubbles --- inclusions --- entrapment --- entrainment --- heat transfer --- solidification --- slab mold --- continuous casting --- n/a

Recent Advances in GPR Imaging

Authors: ---
ISBN: 9783039218103 / 9783039218110 Year: Pages: 216 DOI: 10.3390/books978-3-03921-811-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General) --- Geophysics and Geomagnetism
Added to DOAB on : 2019-12-09 11:49:16
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The Special Issue (SI) “Recent Advances in GPR Imaging” offers an up-to-date overview of state-of-the-art research activities dealing with the development of Ground Penetrating Radar (GPR) technology and its recent advances in imaging in the different fields of application. In fact, the advances experimented with over the last few decades with regard to the appearance of new GPR systems and the need to manage large amounts of data suggest an increasing interest in the development of new signal processing algorithms and modeling, as well as in the use of three-dimensional (3D) imaging techniques.

Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors

Authors: --- --- --- --- et al.
ISBN: 9783038978985 / 9783038978992 Year: Pages: 290 DOI: 10.3390/books978-3-03897-899-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 10:09:00
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In recent years, entropy has been used as a measure of the degree of chaos in dynamical systems. Thus, it is important to study entropy in nonlinear systems. Moreover, there has been increasing interest in the last few years regarding the novel classification of nonlinear dynamical systems including two kinds of attractors: self-excited attractors and hidden attractors. The localization of self-excited attractors by applying a standard computational procedure is straightforward. In systems with hidden attractors, however, a specific computational procedure must be developed, since equilibrium points do not help in the localization of hidden attractors. Some examples of this kind of system are chaotic dynamical systems with no equilibrium points; with only stable equilibria, curves of equilibria, and surfaces of equilibria; and with non-hyperbolic equilibria. There is evidence that hidden attractors play a vital role in various fields ranging from phase-locked loops, oscillators, describing convective fluid motion, drilling systems, information theory, cryptography, and multilevel DC/DC converters. This Special Issue is a collection of the latest scientific trends on the advanced topics of dynamics, entropy, fractional order calculus, and applications in complex systems with self-excited attractors and hidden attractors.

Keywords

new chaotic system --- multiple attractors --- electronic circuit realization --- S-Box algorithm --- chaotic systems --- circuit design --- parameter estimation --- optimization methods --- Gaussian mixture model --- chaotic system --- empirical mode decomposition --- permutation entropy --- image encryption --- hidden attractors --- fixed point --- stability --- nonlinear transport equation --- stochastic (strong) entropy solution --- uniqueness --- existence --- multiscale multivariate entropy --- multistability --- self-reproducing system --- chaos --- hidden attractor --- self-excited attractor --- fractional order --- spectral entropy --- coexistence --- multistability --- chaotic flow --- hidden attractor --- multistable --- entropy --- core entropy --- Thurston’s algorithm --- Hubbard tree --- external rays --- chaos --- Lyapunov exponents --- multiple-valued --- static memory --- strange attractors --- fractional discrete chaos --- entropy --- projective synchronization --- full state hybrid projective synchronization --- generalized synchronization --- inverse full state hybrid projective synchronization --- inverse generalized synchronization --- multichannel supply chain --- service game --- chaos --- entropy --- BOPS --- Hopf bifurcation --- self-excited attractors --- multistability --- sample entropy --- PRNG --- Non-equilibrium four-dimensional chaotic system --- entropy measure --- adaptive approximator-based control --- neural network --- uncertain dynamics --- synchronization --- fractional-order --- complex-variable chaotic system --- unknown complex parameters --- chaotic map --- fixed point --- chaos --- approximate entropy --- implementation --- hidden attractor --- hyperchaotic system --- multistability --- entropy analysis --- hidden attractor --- complex systems --- fractional-order --- entropy --- chaotic maps --- chaos --- spatial dynamics --- Bogdanov Map --- chaos --- laser --- resonator

Micro/Nano Manufacturing

Authors: ---
ISBN: 9783039211692 / 9783039211708 Year: Pages: 208 DOI: 10.3390/books978-3-03921-170-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General)
Added to DOAB on : 2019-12-09 11:49:15
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Micro manufacturing involves dealing with the fabrication of structures in the size range of 0.1 to 1000 µm. The scope of nano manufacturing extends the size range of manufactured features to even smaller length scales—below 100 nm. A strict borderline between micro and nano manufacturing can hardly be drawn, such that both domains are treated as complementary and mutually beneficial within a closely interconnected scientific community. Both micro and nano manufacturing can be considered as important enablers for high-end products. This Special Issue of Applied Sciences is dedicated to recent advances in research and development within the field of micro and nano manufacturing. The included papers report recent findings and advances in manufacturing technologies for producing products with micro and nano scale features and structures as well as applications underpinned by the advances in these technologies.

Keywords

fluid jet polishing --- deterministic polishing --- variable pitch path --- residual error optimization --- path adaptability --- chatter identification --- three-dimensional elliptical vibration cutting --- empirical mode decomposition --- intrinsic mode function --- feature extraction --- micro-EDM molds --- micro-lens array --- contactless embossing --- friction coefficient --- micro 3D printing --- micro stereolithography --- process parameter optimization --- Taguchi’s method --- multi-objective particle swarm optimization --- flow control --- culture dish adapter --- small recess structure --- closed environment --- perfusion culture --- optical encoder --- grating --- blaze --- injection molding --- micro assembly --- active alignment --- opto-ASIC --- wafer-level optics --- antireflection nanostructure --- microlens array mold --- ultraprecision machining --- anodic aluminum oxide --- spatial uncertainty modeling --- additive manufacturing --- uncertainty quantification --- Image segmentation --- gaussian process modeling --- additive manufacturing --- selective laser melting --- surface roughness --- design of experiments --- Ti6Al4V --- SERS --- Surface-enhanced Raman scattering --- nanosphere array --- nanocone array --- hot embossing --- nanoimprinting --- plasma nitriding --- micro-nozzle --- micro-spring --- nitrogen supersaturation --- hardening --- hydrophobicity --- stiffness control --- product development --- conceptual design --- micro assembly --- data structure --- design for manufacturability --- low PC clinker --- Portland limestone ternary fiber–cement nanohybrids --- flexural strength --- TGA/dTG --- XRD --- MIP --- water impermeability tests --- micro and nano manufacturing --- micro-fluidics --- micro-optics --- micro and nano additive manufacturing --- micro-assembly --- surface engineering and interface nanotechnology --- micro factories --- micro reactors --- micro sensors --- micro actuators

Entropy Measures for Data Analysis: Theory, Algorithms and Applications

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ISBN: 9783039280322 / 9783039280339 Year: Pages: 260 DOI: 10.3390/books978-3-03928-033-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2020-01-07 09:21:22
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Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.

Keywords

experiment of design --- empirical mode decomposition --- signal analysis --- similarity indices --- synchronization analysis --- auditory attention --- entropy measure --- linear discriminant analysis (LDA) --- support vector machine (SVM) --- auditory attention classifier --- electroencephalography (EEG) --- vague entropy --- distance induced vague entropy --- distance --- complex fuzzy set --- complex vague soft set --- entropy, entropy visualization --- entropy balance equation --- Shannon-type relations --- multivariate analysis --- machine learning evaluation --- data transformation --- sample entropy --- treadmill walking --- center of pressure displacement --- dual-tasking --- analog circuit --- fault diagnosis --- cross wavelet transform --- Tsallis entropy --- parametric t-distributed stochastic neighbor embedding --- support vector machine --- information transfer --- Chinese stock sectors --- effective transfer entropy --- market crash --- system coupling --- cross-visibility graphs --- image entropy --- geodesic distance --- Dempster-Shafer evidence theory --- uncertainty of basic probability assignment --- belief entropy --- plausibility transformation --- weighted Hartley entropy --- Shannon entropy --- learning --- information --- novelty detection --- non-probabilistic entropy --- learning systems --- permutation entropy --- embedded dimension --- short time records --- signal classification --- relevance analysis --- global optimization --- meta-heuristic --- firefly algorithm --- cross-entropy method --- co-evolution --- symbolic analysis --- ordinal patterns --- Permutation entropy --- conditional entropy of ordinal patterns --- Kolmogorov-Sinai entropy --- algorithmic complexity --- information entropy --- particle size distribution --- selfsimilar measure --- simulation --- data analysis --- entropy --- entropy measures --- automatic learning

Sustainable Energy Systems Planning, Integration and Management

Authors: --- --- --- --- et al.
ISBN: 9783039280469 / 9783039280476 Year: Pages: 286 DOI: 10.3390/books978-3-03928-047-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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Energy systems worldwide are undergoing major transformation as a consequence of the transition towards the widespread use of clean and sustainable energy sources. Basically, this involves massive changes in technical and organizational levels together with tremendous technological upgrades in different sectors ranging from energy generation and transmission systems down to distribution systems. These actions generate huge science and engineering challenges and demands for expert knowledge in the field to create solutions for a sustainable energy system that is economically, environmentally, and socially viable while meeting high security requirements. This book covers these promising and dynamic areas of research and development, and presents contributions in sustainable energy systems planning, integration, and management. Moreover, the book elaborates on a variety of topics, ranging from design and planning of small- to large-scale energy systems to the operation and control of energy networks in different sectors, namely electricity, heat, ?and transport.

Keywords

Black Sea --- Romanian coastal environment --- wave energy --- numerical models --- SWAN --- renewable energy --- environment --- solid waste to energy plant --- FANP --- TOPSIS --- fuzzy logic --- MCDM --- smart logistics system --- smart box --- information platform --- renewable biomass energy --- agricultural pruning --- cuckoo search algorithm --- support vector machine --- ensemble empirical mode decomposition --- wind speed forecasting --- forecasting validity --- smart logistics system --- information platform --- pruning biomass --- performance evaluation --- product quality model --- product usability testing --- rural residential building --- solar energy --- heat transfer --- wind velocities --- field test and numerical simulation --- renewable energy --- load regulation --- datacenter --- smart grid --- demand response --- threshold value of daily operation hours --- intermittent heating --- configurations of internal wall --- heat storage and release --- hot summer and cold winter climate zone --- dual robust optimization --- risk aversion --- energy and environmental systems --- vehicular emissions --- multiple uncertainties --- photovoltaic systems --- meteorological variables --- electric power --- gradient descent --- sustainable development --- optimal chiller loading (OCL) --- uncertain cooling demand --- information gap decision theory (IGDT) --- mixed-integer non-linear programming problem (MINLP) --- novel method --- internal coverings --- neural networks --- energy --- thermal comfort --- control system --- resampling --- feature extraction --- non-intrusive load monitoring --- pure electric buses --- multi-type bus operating organization --- time-space network --- energy consumption --- public transport --- n/a

Circular Economy, Ethical Funds, and Engineering Projects

Authors: --- ---
ISBN: 9783039282524 / 9783039282531 Year: Pages: 300 DOI: 10.3390/books978-3-03928-253-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Environmental Engineering --- General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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This special issue provides a collection of 15 papers with modern theories and applications for circular economy, engineering projects, entrepreneurship models, and investor decisions. After the commencing review on Occupational Health and Safety Management-Systems Standards, follow papers which can be classified into four categories which cover the overall scope of special issue. The first category includes papers regarding the micro-level of circular economy. This means case studies in firm-level which implement different techniques to achieve sustainable development and circular economy goals. The findings reveal interesting achievements which are associated with cultural characteristics of the countries these case studies have been conducted. The second category of papers refers to the meso-level of circular economy where firms cooperate with each other by exchanging byproducts and organizing common operational procedures and routines to address environmental problems. The findings suggest assessment information technology tools to support industrial symbiosis among European firms. The next body of literature encompasses macro-level where circular economy techniques are implemented at a country level. Findings suggest methodologies for implementing and tracking circular economy in cities. Finally, a number of papers are included that focus on advanced engineering techniques. These techniques are useful tools for achieving circular economy and sustainability.

Keywords

cost prediction of substation project --- Ensemble Empirical Mode Decomposition --- Cuckoo Search --- Support Vector Machines --- climate change --- adaptation --- manufacturing firms --- strategic management --- action theory --- Value-at-Risk --- probabilistic alternative approach --- Theory of Inventive Problem Solving --- Project Definition Rating Index --- optimal project profitability --- prefabrication housing production --- planning and control --- critical success factors --- China --- CCPM --- piping construction --- material procurement management --- resource competition --- buffer management --- PERT/CPM --- stochastic simulation --- construction delay --- corporate philanthropy --- information transfer --- political connections --- social capital --- social network --- social network centrality --- sustainability --- circular economy --- investments --- sources of funding --- SME --- sustainable economy --- smart city --- sustainable city --- smart governance --- drivers --- Occupational Health and Safety (OHS) --- sustainability --- Management Standards --- emergy analysis --- pollution impact --- resource consumption --- steel production --- sustainable development --- Industrial symbiosis --- IT tools --- research and innovation projects --- risk assessment --- Fuzzy TOPSIS --- construction safety --- PRAT method --- sustainability --- value of travel time savings --- fuzzy logic --- rule-based systems --- transport project evaluation --- cost benefit analysis --- traffic congestion --- transport planning --- circular economy --- urbanization --- framework --- indicators --- circular city --- Life cycle assessment (LCA) --- carbon footprint --- renewable energy systems --- photovoltaics --- solar thermal collectors

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