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Exceptional design loads on buildings and structures may have different causes, including high-strain natural hazards, man-made attacks and accidents, and extreme operational conditions. All of these aspects can be critical for specific structural typologies and/or materials that are particularly sensitive. Dedicated and refined methods are thus required for design, analysis, and maintenance under structures’ expected lifetimes. Major challenges are related to the structural typology and material properties. Further issues are related to the need for the mitigation or retrofitting of existing structures, or from the optimal and safe design of innovative materials/systems. Finally, in some cases, no design recommendations are available, and thus experimental investigations can have a key role in the overall process. For this SI, we have invited scientists to focus on the recent advancements and trends in the sustainable design of high-performance buildings and structures. Special attention has been given to materials and systems, but also to buildings and infrastructures that can be subjected to extreme design loads. This can be the case of exceptional natural events or unfavorable ambient conditions. The assessment of hazard and risk associated with structures and civil infrastructure systems is important for the preservation and protection of built environments. New procedures, methods, and more precise rules for safety design and the protection of sustainable structures are, however, needed.

Technology: general issues --- History of engineering & technology --- Materials science --- analytical model --- ductile walls --- shear strength --- capacity reduction --- Eurocode 8 --- concrete --- stainless steel --- reinforcement --- temperature --- thermal expansion --- waste management --- construction demolition waste --- thermochromic --- green building material --- recycled waste material --- corrosion --- deterioration --- stirrup --- beams --- cement-based composites (CBCs) --- compressive strength --- fire exposure --- thermal boundaries --- finite element (FE) numerical modelling --- empirical formulations --- fly ash --- granulated blast-furnace slag --- palm oil fly ash --- ordinary Portland cement --- recycled ceramics --- green mortar --- alkali-activated mix design --- embodied energy --- CO2 emission --- assessment --- earthquake --- Zagreb --- case study --- cultural heritage --- seismic design --- structural glass --- q-factor --- engineering demand parameters (EDPs) --- finite element (FE) numerical models --- non-linear incremental dynamic analyses (IDA) --- cloud analysis --- linear regression --- composites --- timber --- CLT --- load-bearing glass --- friction --- FEM analysis --- beam–column joints --- shear capacity --- cyclic loading --- joint’s numerical modeling --- interior joint --- corner joint --- modified reinforcement technique (MRT) --- beam-column joint --- ferrocement --- crack --- ductility --- displacement --- reinforced concrete --- deep beam --- support vector regression --- metaheuristic optimization

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• Reference Manager
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Exceptional design loads on buildings and structures may have different causes, including high-strain natural hazards, man-made attacks and accidents, and extreme operational conditions. All of these aspects can be critical for specific structural typologies and/or materials that are particularly sensitive. Dedicated and refined methods are thus required for design, analysis, and maintenance under structures’ expected lifetimes. Major challenges are related to the structural typology and material properties. Further issues are related to the need for the mitigation or retrofitting of existing structures, or from the optimal and safe design of innovative materials/systems. Finally, in some cases, no design recommendations are available, and thus experimental investigations can have a key role in the overall process. For this SI, we have invited scientists to focus on the recent advancements and trends in the sustainable design of high-performance buildings and structures. Special attention has been given to materials and systems, but also to buildings and infrastructures that can be subjected to extreme design loads. This can be the case of exceptional natural events or unfavorable ambient conditions. The assessment of hazard and risk associated with structures and civil infrastructure systems is important for the preservation and protection of built environments. New procedures, methods, and more precise rules for safety design and the protection of sustainable structures are, however, needed.

Technology: general issues --- History of engineering & technology --- Materials science --- analytical model --- ductile walls --- shear strength --- capacity reduction --- Eurocode 8 --- concrete --- stainless steel --- reinforcement --- temperature --- thermal expansion --- waste management --- construction demolition waste --- thermochromic --- green building material --- recycled waste material --- corrosion --- deterioration --- stirrup --- beams --- cement-based composites (CBCs) --- compressive strength --- fire exposure --- thermal boundaries --- finite element (FE) numerical modelling --- empirical formulations --- fly ash --- granulated blast-furnace slag --- palm oil fly ash --- ordinary Portland cement --- recycled ceramics --- green mortar --- alkali-activated mix design --- embodied energy --- CO2 emission --- assessment --- earthquake --- Zagreb --- case study --- cultural heritage --- seismic design --- structural glass --- q-factor --- engineering demand parameters (EDPs) --- finite element (FE) numerical models --- non-linear incremental dynamic analyses (IDA) --- cloud analysis --- linear regression --- composites --- timber --- CLT --- load-bearing glass --- friction --- FEM analysis --- beam–column joints --- shear capacity --- cyclic loading --- joint’s numerical modeling --- interior joint --- corner joint --- modified reinforcement technique (MRT) --- beam-column joint --- ferrocement --- crack --- ductility --- displacement --- reinforced concrete --- deep beam --- support vector regression --- metaheuristic optimization --- analytical model --- ductile walls --- shear strength --- capacity reduction --- Eurocode 8 --- concrete --- stainless steel --- reinforcement --- temperature --- thermal expansion --- waste management --- construction demolition waste --- thermochromic --- green building material --- recycled waste material --- corrosion --- deterioration --- stirrup --- beams --- cement-based composites (CBCs) --- compressive strength --- fire exposure --- thermal boundaries --- finite element (FE) numerical modelling --- empirical formulations --- fly ash --- granulated blast-furnace slag --- palm oil fly ash --- ordinary Portland cement --- recycled ceramics --- green mortar --- alkali-activated mix design --- embodied energy --- CO2 emission --- assessment --- earthquake --- Zagreb --- case study --- cultural heritage --- seismic design --- structural glass --- q-factor --- engineering demand parameters (EDPs) --- finite element (FE) numerical models --- non-linear incremental dynamic analyses (IDA) --- cloud analysis --- linear regression --- composites --- timber --- CLT --- load-bearing glass --- friction --- FEM analysis --- beam–column joints --- shear capacity --- cyclic loading --- joint’s numerical modeling --- interior joint --- corner joint --- modified reinforcement technique (MRT) --- beam-column joint --- ferrocement --- crack --- ductility --- displacement --- reinforced concrete --- deep beam --- support vector regression --- metaheuristic optimization

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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 --- 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

Choose an application

• Reference Manager
• EndNote
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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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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