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Advances in Mechanical Problems of Functionally Graded Materials and Structures
| Advances in Mechanical Problems of Functionally Graded Materials and Structures |
| Autore | Bui Tinh Quoc |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto non controllato |
power-law distribution
evanescent wave flow theory of plasticity free vibration characteristics neural networks geometrically nonlinear analysis finite element method stress concentration factor inhomogeneous composite materials circular plate porous materials minimum module approximation method ANFIS electroelastic solution functionally graded piezoelectric materials Love wave polynomial approach stepped FG paraboloidal shell material design damping coefficient spring stiffness technique Lamb wave pure bending general edge conditions residual stress graded finite elements large strain non-linear buckling analysis orthogonal stiffener combined mechanical loads functionally graded piezoelectric-piezomagnetic material functionally graded beams attenuation failure and damage analytical solution functionally graded materials elastoplastic analysis elastic foundation hollow disc different moduli in tension and compression external pressure functional graded saturated material bimodulus fuzzy logic truncated conical sandwich shell quadratic solid–shell elements functionally graded viscoelastic material finite element analysis residual strain neutral layer elliptical hole thin structures functionally graded plate inhomogeneity clustering metal foam core layer robotics and contact wear dispersion high order shear deformation theory finite elements |
| ISBN | 3-03921-659-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367749803321 |
Bui Tinh Quoc
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
| Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (280 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
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Vitelli Massimo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Systems and Applications in Agriculture
| Energy Systems and Applications in Agriculture |
| Autore | Sultan Muhammad |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
mercury ion
corn cob activated carbon adsorption greenhouse energy modeling renewable energy energy-saving screen greenhouse microclimate control cantaloupe improvement potential energy efficiency exergy ANN ANFIS cereal production crop rotation energy analysis DEA CO2 emissions Chinese solar greenhouse thermal model north wall cold regions heating requirement pyrolysis date palm waste techno-economic fluidized bed reactor biofuels solar cooling post-harvest food losses decentralized food storage cooling pads agriculture CROPWAT irrigation management crop water requirement hybrid renewable energy techno-economic optimization net present cost HOMER Pro® membrane energy recovery ventilator energy recovery potential Maisotsenko cycle evaporative cooling building air-conditioning human thermal comfort Pakistan wastewater treatment biological process aerobic process attached growth biofilm rotating biological contactor |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595066103321 |
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Sultan Muhammad
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fuzzy Decision Making and Soft Computing Applications
| Fuzzy Decision Making and Soft Computing Applications |
| Autore | De Pietro Giuseppe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (278 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
fuzzy partition
fuzzy transform new iterative method Cauchy problems ANFIS basmati rice image processing grading quality assessment fuzzy inference system causality statistics concept-mapping causal graph numerical methods systems of ordinary differential equations NIM fuzzy logics linear motion blur fuzzy deblurring electron beam calibration signal and image processing propagation modeling adaptive-network-based fuzzy system LoRa & LoRaWAN radio wave propagation artificial neural networks subtracting clustering dual double fuzzy semi-metric double fuzzy semi-metric fuzzy semi-metric space triangle inequality triangular norm eye gaze tracking interval type-2 fuzzy logic vision system mobile robots intelligent control ordered fuzzy number fuzzy relation preorder strict order equivalence relation variable neighborhood search experimental comparison statistical analysis traveling salesman problem soft computing modeling vector optimization methods of solution of vector problems optimal decision-making numerical realization of decision-making |
| ISBN | 3-0365-4930-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637781803321 |
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De Pietro Giuseppe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Control in Energy Systems
| Intelligent Control in Energy Systems |
| Autore | Dounis Anastasios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (508 p.) |
| Soggetto non controllato |
energy management system
artificial neural network control architecture intelligent buildings sensitivity analysis neural networks active balance photovoltaic system fast frequency response artificial intelligence MPPT operation model uncertainty load frequency control decision tree multi-agent control hybrid power plant Fault Ride Through Capability optimization small scale compressed air energy storage (SS-CAES) smart micro-grid current distortion hybrid electric vehicle parameter estimation railway ANFIS solar monitoring system urban microgrids phase-load balancing model reduction high-speed railway energy internet coordination of reserves differential evolution photovoltaic array ancillary service adjacent areas instantaneous optimization minimum power loss model predictive control HVAC systems sliding mode control MPPT: maximum power point tracking power oscillations thyristor interaction minimization occupancy model fuzzy logic controller power transformer winding RLS integrated energy systems vibration characteristics battery safety error estimation error compensation static friction convolutional neural network forecasting continuous voltage control medium voltage bridgeless SEPIC PFC converter building climate control PEM fuel cell proton exchange membrane fuel cell compound structured permanent-magnet motor occupancy-based control four phases interleaved boost converter long short term memory line switching lithium-ion battery pack back propagation (BP) neural network doubly-fed induction generator double forgetting factors current controller design repetitive controller exhaust gas recirculation (EGR) valve system neural network controller step-up boost converter internal short circuit resistance electric power consumption electric vehicle multiphysical field analysis energy efficiency multi-energy complementary system identification ?-synthesis network sensitivity intelligent control ?-class function frequency support multi-step forecasting frequency containment reserve orthogonal least square rule-based control industrial process hierarchical Petri nets wind integrated power system probabilistic power flow voltage controlling adaptive backstepping AC-DC converters line loss demand side management energy systems short-circuit experiment winding-fault characteristics neutral section stochastic power system operating point drift neural network algorithm operation limit violations fractional order fuzzy PID controller preventive control AC static switch battery packs model-based fault detection automotive application nonlinear power systems adaptive damping control pilot point energy management position control frequency control dead band fuzzy voltage violations distribution network planning frequency regulation energy management strategy multiple-point control electric meter polynomial expansion commercial/residential buildings system modelling three-stage soft internal short circuit demand response |
| ISBN | 3-03921-416-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367565403321 |
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Dounis Anastasios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Data Mining Applications in Power Systems
| Machine Learning and Data Mining Applications in Power Systems |
| Autore | Leonowicz Zbigniew |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Energy industries & utilities |
| Soggetto non controllato |
virtual power plant (VPP)
power quality (PQ) global index distributed energy resources (DER) energy storage systems (ESS) power systems long-term assessment battery energy storage systems (BESS) smart grids conducted disturbances power quality supraharmonics 2-150 kHz Power Line Communications (PLC) intentional emission non-intentional emission mains signalling virtual power plant data mining clustering distributed energy resources energy storage systems short term conditions cluster analysis (CA) nonlinear loads harmonics, cancellation, and attenuation of harmonics waveform distortion THDi low-voltage networks optimization techniques different batteries off-grid microgrid integrated renewable energy system cluster analysis K-means agglomerative ANFIS fuzzy logic induction generator MPPT neural network renewable energy variable speed WECS wind energy conversion system wind energy frequency estimation spectrum interpolation power network disturbances COVID-19 time-varying reproduction number social distancing load profile demographic characteristic household energy consumption demand-side management energy management time series Hidden Markov Model short-term forecast sparse signal decomposition supervised dictionary learning dictionary impulsion singular value decomposition discrete cosine transform discrete Haar transform discrete wavelet transform transient stability assessment home energy management binary-coded genetic algorithms optimal power scheduling demand response Data Injection Attack machine learning critical infrastructure smart grid water treatment plant power system |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576877503321 |
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Leonowicz Zbigniew
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management
| Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management |
| Autore | Antuchevi?ien? Jurgita |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (320 p.) |
| Soggetto non controllato |
multiple attribute decision making
maximizing deviation model interval multiplicative preference relations rough sets queuing systems fuzzy EDAS nonnegative normal neutrosophic number single-valued linguistic neutrosophic interval linguistic number order allocation multi-attribute decision-making (MADM) multi-criteria decision-making Pythagorean uncertain linguistic variable neutrosophic sets supplier green supplier trust interval ANFIS reliable group decision-making multiple criteria decision-making adaptive neuro-fuzzy inference system (ANFIS) multi-attribute group decision-making Pythagorean fuzzy set Muirhead mean subcontractor evaluation fuzzy sets group decision-making score function supplier selection unbalanced linguistic set projection model multiple criteria group decision-making warehouse multi-hesitant fuzzy sets Dombi operations interaction operational laws decision making MCDM multiple criteria decision making (MCDM) rough ANP MADM multiple attributes decision-making interactive approach weighted aggregation operator logistics rough analytical hierarchical process (AHP) linguistic cubic variable multiobjective optimization aggregation operators bi-directional projection model rough boundary interval prioritized average operator binary discernibility matrices Einstein operations hesitant probabilistic fuzzy Einstein aggregation operators multiple-criteria decision-making (MCDM) aggregation operator linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator multi-attribute decision making trapezoidal fuzzy number rough number evidence theory uncertain group decision-making support systems desirability function deterministic finite automata rough weighted aggregated sum product assessment (WASPAS) hesitant probabilistic fuzzy element (HPFE) multiple attribute decision making (MADM) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Multiple-Criteria Decision-Making |
| Record Nr. | UNINA-9910346836503321 |
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Antuchevi?ien? Jurgita
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Power System Simulation, Control and Optimization
| Power System Simulation, Control and Optimization |
| Autore | Domínguez-Navarro José Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (242 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
subhourly modeling
stochastic unit commitment cosimulation method sensitivity analysis power system dynamic performance cooling system dynamic programming metal-air battery receding horizon control state variables uninterruptible power supply power flow computation high performance computing (HPC) parallelism parallel computation LU decomposition security-constrained optimal power flow chance-constrained optimization probability of contingency renewable energy source flexible AC transmission systems tabu search multi-objective power systems impartial and open dispatching economy Gini coefficient generation scheduling mixed integer quadratic programming flexible loads market clearing safety checking interior point method electric safety induction motor fan overcurrent protection aggregation ancillary services distributed energy resources optimization power system operation automatic generation control (AGC) frequency control dynamic deadband energy management system (EMS) governor response voltage collapse voltage control transformer controller adaptive algorithm voltage regulation distribution system power distribution network distributed generation OLTC solar radiation modeling GIS interpolation digital elevation model data mining ANFIS multistrand cable lines ampacity skin and proximity effects symmetry |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557372803321 |
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Domínguez-Navarro José Antonio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Renewable Energy Resource Assessment and Forecasting
| Renewable Energy Resource Assessment and Forecasting |
| Autore | Galanis George |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
short-term forecasts
direct normal irradiance concentrating solar power system advisor model operational strategies central solar receiver solar irradiance forecasts numerical weather prediction model different horizontal resolution forecast errors validation ramp rates renewable energy forecasting solar radiation shark algorithm particle swarm optimization ANFIS nowcasting Kalman-Bayesian filter WRF high-resolution complex terrain wind solar irradiation photovoltaic solar energy deep learning prediction biofuel risk analysis sustainable development renewable energy biomass biotechnology anthropogenic waste processing energy resource assessment tidal-stream energy thrust force coefficient momentum sink unbounded flow open channel flows shock-capturing capability global horizontal irradiance (GHI) forecasting clearness coefficient Markov chains weather research and forecasting model solar resource heat supply of industrial processes solar collectors economic efficiency cross border trading Granger causality electricity trading spot prices deformable models electric energy demand functional statistics Kalman filtering shape-invariant model developing countries concentrated solar thermochemical energy renewable energy sources climate policy forecast the European Green Deal |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674030003321 |
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Galanis George
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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