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Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.

artificial neural network --- online diagnosis --- genetic algorithm --- renewable energy --- unit commitment --- photovoltaic panel --- power forecasting --- metaheuristic --- monitoring system --- embedded systems --- firefly algorithm --- tracking system --- MPPT algorithm --- integrated storage --- day-ahead forecast --- solar radiation --- prototype model --- artificial neural networks --- parameter extraction --- thermal image --- thermal model --- solar cell --- PV cell temperature --- evolutionary algorithms --- uncertainty --- battery --- harmony search meta-heuristic algorithm --- single-diode photovoltaic model --- symbiotic organisms search --- photovoltaics --- tilt angle --- smart photovoltaic system blind --- orientation --- photovoltaic --- particle swarm optimization --- analytical methods --- computational intelligence --- statistical errors --- ensemble methods --- solar photovoltaic --- electrical parameters --- demand response --- metaheuristic algorithm

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This book is a collection of papers covering various aspects of the optimal control of power and energy production from renewable resources (wind, PV, biomass, hydrogen, etc.). In particular, attention is focused both on the optimal control of new technologies and on their integration in buildings, microgrids, and energy markets. The examples presented in this book are among the most promising technologies for satisfying an increasing share of thermal and electrical demands with renewable sources: from solar cooling plants to offshore wind generation; hybrid plants, combining traditional and renewable sources, are also considered, as well as traditional and innovative storage systems. Innovative solutions for transportation systems are also explored for both railway infrastructures and advanced light rail vehicles. The optimization and control of new solutions for the power network are addressed in detail: specifically, special attention is paid to microgrids as new paradigms for distribution networks, but also in other applications (e.g., shipboards). Finally, optimization and simulation models within SCADA and energy management systems are considered. This book is intended for engineers, researchers, and practitioners that work in the field of energy, smart grid, renewable resources, and their optimization and control.

fuel cell --- power control --- multi-objective optimization --- equivalent consumption minimization strategy --- firefly algorithm --- hybrid light rail vehicle --- solar energy --- Fresnel collector --- model predictive control --- fuzzy algorithm --- hybrid systems --- shipboard microgrids --- photovoltaic (PV) systems --- energy storage technologies --- microgrids --- hybrid energy storage systems (HESS) --- floating offshore wind turbine --- aerodynamic platform stabiliser --- wave rejection --- feedback loop --- control --- optimisation --- energy storage --- pumped storage hydro --- ternary pumped storage hydro --- dynamic simulation --- dynamic modeling --- inertia --- renewable energy --- power system --- primary control --- BESS --- microgrid --- Grid Forming --- Grid Support --- Inverter Control --- DIgSILENT PowerFactory --- EMT simulations --- eco-friendliness --- smart railway --- smart electrical infrastructure --- control algorithm --- regenerative braking energy --- smart grid --- optimization --- energy management system --- interconnected buildings --- renewable resources --- multi-level --- aggregator --- wind-diesel power plant --- intelligent control system --- diesel-generator set --- internal combustion engine --- artificial neural network --- fuel economy --- co-simulation --- SCADA --- operator training --- building energy management system --- simulation --- equivalent electric circuit

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This book is a collection of papers covering various aspects of the optimal control of power and energy production from renewable resources (wind, PV, biomass, hydrogen, etc.). In particular, attention is focused both on the optimal control of new technologies and on their integration in buildings, microgrids, and energy markets. The examples presented in this book are among the most promising technologies for satisfying an increasing share of thermal and electrical demands with renewable sources: from solar cooling plants to offshore wind generation; hybrid plants, combining traditional and renewable sources, are also considered, as well as traditional and innovative storage systems. Innovative solutions for transportation systems are also explored for both railway infrastructures and advanced light rail vehicles. The optimization and control of new solutions for the power network are addressed in detail: specifically, special attention is paid to microgrids as new paradigms for distribution networks, but also in other applications (e.g., shipboards). Finally, optimization and simulation models within SCADA and energy management systems are considered. This book is intended for engineers, researchers, and practitioners that work in the field of energy, smart grid, renewable resources, and their optimization and control.

History of engineering & technology --- fuel cell --- power control --- multi-objective optimization --- equivalent consumption minimization strategy --- firefly algorithm --- hybrid light rail vehicle --- solar energy --- Fresnel collector --- model predictive control --- fuzzy algorithm --- hybrid systems --- shipboard microgrids --- photovoltaic (PV) systems --- energy storage technologies --- microgrids --- hybrid energy storage systems (HESS) --- floating offshore wind turbine --- aerodynamic platform stabiliser --- wave rejection --- feedback loop --- control --- optimisation --- energy storage --- pumped storage hydro --- ternary pumped storage hydro --- dynamic simulation --- dynamic modeling --- inertia --- renewable energy --- power system --- primary control --- BESS --- microgrid --- Grid Forming --- Grid Support --- Inverter Control --- DIgSILENT PowerFactory --- EMT simulations --- eco-friendliness --- smart railway --- smart electrical infrastructure --- control algorithm --- regenerative braking energy --- smart grid --- optimization --- energy management system --- interconnected buildings --- renewable resources --- multi-level --- aggregator --- wind-diesel power plant --- intelligent control system --- diesel-generator set --- internal combustion engine --- artificial neural network --- fuel economy --- co-simulation --- SCADA --- operator training --- building energy management system --- simulation --- equivalent electric circuit --- fuel cell --- power control --- multi-objective optimization --- equivalent consumption minimization strategy --- firefly algorithm --- hybrid light rail vehicle --- solar energy --- Fresnel collector --- model predictive control --- fuzzy algorithm --- hybrid systems --- shipboard microgrids --- photovoltaic (PV) systems --- energy storage technologies --- microgrids --- hybrid energy storage systems (HESS) --- floating offshore wind turbine --- aerodynamic platform stabiliser --- wave rejection --- feedback loop --- control --- optimisation --- energy storage --- pumped storage hydro --- ternary pumped storage hydro --- dynamic simulation --- dynamic modeling --- inertia --- renewable energy --- power system --- primary control --- BESS --- microgrid --- Grid Forming --- Grid Support --- Inverter Control --- DIgSILENT PowerFactory --- EMT simulations --- eco-friendliness --- smart railway --- smart electrical infrastructure --- control algorithm --- regenerative braking energy --- smart grid --- optimization --- energy management system --- interconnected buildings --- renewable resources --- multi-level --- aggregator --- wind-diesel power plant --- intelligent control system --- diesel-generator set --- internal combustion engine --- artificial neural network --- fuel economy --- co-simulation --- SCADA --- operator training --- building energy management system --- simulation --- equivalent electric circuit

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Engineering practice requires the use of structures containing identical components or parts, useful from several points of view: less information is needed to describe the system, design is made quicker and easier, components are made faster than a complex assembly, and finally the time to achieve the structure and the cost of manufacturing decreases. Additionally, the subsequent maintenance of the system becomes easier and cheaper. This Special Issue is dedicated to this kind of mechanical structure, describing the properties and methods of analysis of these structures. Discrete or continuous structures in static and dynamic cases are considered. Theoretical models, mathematical methods, and numerical analyses of the systems, such as the finite element method and experimental methods, are expected to be used in the research. Machine building, automotive, aerospace, and civil engineering are the main areas in which such applications appear, but they are found in most engineering fields.

History of engineering & technology --- exact solutions --- the generalized Benjamin–Bona–Mahony equation --- generalized exponential rational function method --- solitary wave solutions --- symbolic computation --- Thomson effect --- initial stress --- magneto-thermoelastic --- voids --- normal mode method --- G-N theory --- eigenvalue problem --- axisymmetric and non-axisymmetric vibrations --- multiparametric special functions --- circular plate --- functionally graded porous material --- initially stressed bodies --- dipolar structure --- volume fraction --- domain of influence --- chaotic time series prediction --- neural network --- firefly algorithm --- CEEMDAN --- VMD --- symmetric geometry --- guitar’s plate --- modal analysis --- skew symmetric eigenmodes --- comparison --- Friedman test --- linear regression --- nonlinear regression --- sign test --- symmetric errors --- Wilcoxon test --- coefficient of variation --- ratio --- symmetric and asymmetric distributions --- test of hypothesis --- multi-body system --- finite element method (FEM) --- linear elastic elements --- Lagrange’s equations --- two-dimensional finite element --- plane motion --- backward in time problem --- dipolar thermoelastic body --- uniqueness of solution --- Cesaro means --- partition of energies --- α-fractional calculus --- vibration isolation --- fractional-order differential equation --- rubber-like elastomers --- Riemann–Liouville/Caputo/Grünwald-Letnikov fractional derivative --- advanced mechanics --- analytical dynamics --- acceleration energies --- robotics --- viscoelasticity --- type III thermal law --- finite elements --- error estimates --- numerical results --- symmetry --- topology --- mechanical structures --- robots --- vibration --- mechanical engineering --- applied mechanics --- bird-strike impact --- composite laminate --- damage equivalency --- fan blade --- symmetrical configurations --- exact solutions --- the generalized Benjamin–Bona–Mahony equation --- generalized exponential rational function method --- solitary wave solutions --- symbolic computation --- Thomson effect --- initial stress --- magneto-thermoelastic --- voids --- normal mode method --- G-N theory --- eigenvalue problem --- axisymmetric and non-axisymmetric vibrations --- multiparametric special functions --- circular plate --- functionally graded porous material --- initially stressed bodies --- dipolar structure --- volume fraction --- domain of influence --- chaotic time series prediction --- neural network --- firefly algorithm --- CEEMDAN --- VMD --- symmetric geometry --- guitar’s plate --- modal analysis --- skew symmetric eigenmodes --- comparison --- Friedman test --- linear regression --- nonlinear regression --- sign test --- symmetric errors --- Wilcoxon test --- coefficient of variation --- ratio --- symmetric and asymmetric distributions --- test of hypothesis --- multi-body system --- finite element method (FEM) --- linear elastic elements --- Lagrange’s equations --- two-dimensional finite element --- plane motion --- backward in time problem --- dipolar thermoelastic body --- uniqueness of solution --- Cesaro means --- partition of energies --- α-fractional calculus --- vibration isolation --- fractional-order differential equation --- rubber-like elastomers --- Riemann–Liouville/Caputo/Grünwald-Letnikov fractional derivative --- advanced mechanics --- analytical dynamics --- acceleration energies --- robotics --- viscoelasticity --- type III thermal law --- finite elements --- error estimates --- numerical results --- symmetry --- topology --- mechanical structures --- robots --- vibration --- mechanical engineering --- applied mechanics --- bird-strike impact --- composite laminate --- damage equivalency --- fan blade --- symmetrical configurations

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Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,

individual updating strategy --- integrated design --- global optimum --- flexible job shop scheduling problem --- whale optimization algorithm --- EHO --- bat algorithm with multiple strategy coupling (mixBA) --- multi-objective DV-Hop localization algorithm --- optimization --- rock types --- variable neighborhood search --- biology --- average iteration times --- CEC2013 benchmarks --- slicing tree structure --- firefly algorithm (FA) --- benchmark --- single loop --- evolutionary computation --- memetic algorithm --- normal cloud model --- 0-1 knapsack problems --- elite strategy --- diversity maintenance --- material handling path --- artificial bee colony algorithm (ABC) --- urban design --- entropy --- evolutionary algorithms (EAs) --- monarch butterfly optimization --- numerical simulation --- architecture --- set-union knapsack problem --- Wilcoxon test --- convolutional neural network --- global position updating operator --- particle swarm optimization --- computation --- minimum load coloring --- topology structure --- adaptive multi-swarm --- minimum total dominating set --- mutation operation --- shape grammar --- greedy optimization algorithm --- ?-Hilbert space --- genetic algorithm --- large scale optimization --- large-scale optimization --- NSGA-II-DV-Hop --- constrained optimization problems (COPs) --- first-arrival picking --- transfer function --- SPEA 2 --- stochastic ranking (SR) --- wireless sensor networks (WSNs) --- acceleration search --- convergence point --- fuzzy c-means --- evolutionary algorithm --- success rates --- Artificial bee colony --- particle swarm optimizer --- random weight --- range detection --- adaptive weight --- large-scale --- automatic identification --- cloud model --- swarm intelligence --- evolutionary multi-objective optimization --- DV-Hop algorithm --- bat algorithm (BA) --- Friedman test --- quantum uncertainty property --- facility layout design --- local search --- deep learning --- Y conditional cloud generator --- benchmark functions --- discrete algorithm --- dispatching rule --- DE algorithm --- nonlinear convergence factor --- energy-efficient job shop scheduling --- t-test --- evolution --- dimension learning --- global optimization --- confidence term --- elephant herding optimization --- moth search algorithm --- evolutionary