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Many constructions are built with reinforced or prestressed concrete, and most of them are designed or expected to resist earthquake actions in addition to gravity loads. To limit the effects of seismic events on reinforced or prestressed concrete structures, many attempts have been made by researchers in order to (i) improve the knowledge of the response of materials (steel bars and concrete) and members by means of laboratory tests, (ii) develop numerical and capacity models, (iii) enhance procedures for the dynamic analysis and assessment of the seismic performance of structures and (iv) suggest innovative interventions for the seismic retrofit of old and damaged reinforced or prestressed concrete structures. This Special Issue is a collection of 11 important research works that cover a wide range of problems related to the previously mentioned research fields. Both researchers and practical engineers are expected to greatly benefit from this Special Issue in view of their own work and for a better comprehension of the response of r.c. members and structures.

Technology: general issues --- History of engineering & technology --- seismic retrofitting --- mainshock-damaged RC frame --- soft steel damper --- seismic performance --- mainshock-aftershock seismic sequence --- retrofitting --- modular --- finite element analysis --- flexural behavior --- ductility --- RC columns --- strengthening --- direct fastening --- steel jackets --- design procedure --- precast reinforced concrete deep beam --- experimental study --- finite element method (FEM) --- RC frames --- brick infills --- prior damage --- finite element analyses --- seismic joint --- FRP --- RC corroded columns --- localised corrosion --- numerical analyses --- modelling strategies --- cyclic actions --- seismic isolation --- asymmetric building --- mode-adaptive bidirectional pushover analysis (MABPA) --- seismic retrofit --- momentary energy input --- RC-framed skin --- seismic assessment --- nonlinear static analysis --- existing RC buildings --- retrofitting intervention --- column removal --- non-linear analysis --- progressive collapse --- reinforced concrete frame --- seismic response --- optimization --- curtailed shear wall --- buckling-restrained brace --- genetic algorithm --- seismic upgrading --- RC buildings --- industrial buildings --- industrial heritage --- steel exoskeletons --- photovoltaic plants --- n/a

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This book includes original research papers related to renewable energy and power systems in which theoretical or practical issues of symmetry are considered. The book includes contributions on voltage stability analysis in DC networks, optimal dispatch of islanded microgrid systems, reactive power compensation, direct power compensation, optimal location and sizing of photovoltaic sources in DC networks, layout of parabolic trough solar collectors, topologic analysis of high-voltage transmission grids, geometric algebra and power systems, filter design for harmonic current compensation. The contributions included in this book describe the state of the art in this field and shed light on the possibilities that the study of symmetry has in power grids and renewable energy systems.

History of engineering & technology --- backstepping method --- hybrid power active filter --- harmonic current compensation --- geometric algebra --- nonsinusoidal power --- passive compensation --- clifford algebra --- circuit systems --- power grids --- supergrids --- high-voltage power transmission --- complex networks --- community detection --- modularity --- evolutionary algorithms --- generational genetic algorithm --- modularity and improved genetic algorithm --- Louvain modularity algorithm --- CSP --- PTC rows --- solar --- shadowing --- energy --- renewable energy --- artificial neural networks --- diesel generation --- direct current networks --- greenhouse emissions --- numerical optimization --- mixed-integer nonlinear programming photovoltaic plants --- distribution networks --- direct power control --- global tracking controller --- passivity-based control --- supercapacitor energy storage system --- reactive power --- thyristor-controlled reactor --- air-gaped reactor --- low-voltage utility grid --- asymmetric compensation of reactive power --- smooth compensation of reactive power --- dynamic optimal dispatch --- wind turbine --- photovoltaic --- Grey Wolf Optimizer (GWO) --- energy management --- convex reformulation --- non-linear optimization --- numerical example --- second-order cone programming --- voltage stability margin

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Photovoltaic solar energy technology (PV) has been developing rapidly in the past decades, leading to a multi-billion-dollar global market. It is of paramount importance that PV systems function properly, which requires the generation of expected energy both for small-scale systems that consist of a few solar modules and for very large-scale systems containing millions of modules. This book increases the understanding of the issues relevant to PV system design and correlated performance; moreover, it contains research from scholars across the globe in the fields of data analysis and data mapping for the optimal performance of PV systems, faults analysis, various causes for energy loss, and design and integration issues. The chapters in this book demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure continued good performance.

fault diagnosis --- modeling --- simulation --- fault tree analysis --- photovoltaic system --- Bartlett’s test --- metaheuristic --- population density --- spatial analyses --- AC parameters --- parameter estimation --- fiber reinforced polymeric plastic (FRP) --- Hartigan’s dip test --- energy --- image processing --- real data --- photovoltaic (PV) systems monitoring --- forecast --- photovoltaic plants --- system --- graphical malfunction detection --- defects --- STATCOM --- photo-generated current --- performance analysis --- photovoltaic module performance --- solar energy --- urban context --- thermal interaction --- underdamped oscillation --- reliability --- membership algorithm --- photovoltaic systems --- availability --- fuzzy logic controller --- ANOVA --- solar farm --- energy yield --- cluster analysis --- photovoltaics --- annual yield --- residential buildings --- PV array --- PV system --- dc-dc converter --- quasi-opposition based learning --- grid-connected --- performance ratio --- organic soiling --- vegetated/green roof --- conventional roof membrane --- UV-fluorescence imaging --- PV thermal performance --- PV systems --- failure mode and effect analysis --- ageing and degradation of PV-modules --- sheet molding compound FRP --- Jarque-Bera’s test --- Tukey’s test --- technical costs --- Kruskal-Wallis’ test --- improved cuckoo search algorithm --- PV energy performance --- pultruded FRP --- cracks --- maximum power point tracking (MPPT) --- structural design --- software development --- floating PV generation structure --- malfunction detection --- modules --- photovoltaic performance --- maximum power point --- GIS --- impedance spectroscopy --- floating PV systems (FPV) --- solar cells --- Renewable Energy --- loss analysis --- shade resilience --- Scanning Electron Microscopy (SEM) --- failure detection --- optimization problem --- failure rates --- FCM algorithm --- stability analysis --- reactive power support --- mooring system --- buck converter --- Mood’s Median test --- photovoltaic modeling --- module architecture --- PV module --- data analysis --- partial shading --- opposition-based learning --- silicon --- floating PV module (FPVM) --- electroluminescence --- urban compactness

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This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators.

History of engineering & technology --- sensor network --- data fusion --- complex network analysis --- fault prognosis --- photovoltaic plants --- ANFIS --- statistical method --- gradient descent --- photovoltaic system --- sustainable development --- PV power prediction --- artificial neural network --- renewable energy --- environmental parameters --- multiple regression model --- moth-flame optimization --- parameter extraction --- photovoltaic model --- double flames generation (DFG) strategy --- Solar cell parameters --- single-diode model --- two-diode model --- COA --- photovoltaic systems --- maximum power point tracking --- single stage grid connected systems --- solar concentrator --- spectral beam splitting --- diffractive optical element --- diffractive grating --- PVs power output forecasting --- adaptive neuro-fuzzy inference systems --- particle swarm optimization-artificial neural networks --- solar irradiation --- photovoltaic power prediction --- publicly available weather reports --- machine learning --- long short-term memory --- integrated energy systems --- smart energy management --- PV fleet --- clustering-based PV fault detection --- unsupervised learning --- self-imputation --- implicit model solution --- photovoltaic array --- series–parallel --- global optimization --- partial shading --- deterministic optimization algorithm --- metaheuristic optimization algorithm --- genetic algorithm --- solar cell optimization --- finite difference time domain --- optical modelling --- thermal image --- photovoltaic module --- hot spot --- image processing --- deterioration --- linear approximation --- MPPT algorithm --- duty cycle --- global horizontal irradiance --- mathematical modeling --- feed-forward neural networks --- recurrent neural networks --- LSTM cell --- performances evaluation --- clear sky irradiance --- persistent predictor --- photovoltaics --- artificial neural networks --- national power system