Alternative Sources of Energy Modeling, Automation, Optimal Planning and Operation |
Autore | Stavrakakis George S |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (250 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
entrained flow coal gasification
ash melting point operation temperature Markov process stochastic optimization model genetic algorithm gallium nitride magnetic-free converters module-level converters parallel architecture partial shading photovoltaic systems switched capacitor converters hybrid energy storage system supercapacitor lead–acid battery energy management system battery degradation depth of discharge techno-economic analysis hybrid power station green island energy storage remote community reserves k-means probabilistic dimensioning dynamic dimensioning balancing wave energy converters deep neural networks renewable energy sources spatial planning sentinel satellite imagery permanent magnet synchronous machines generators fault detection demagnetization artificial intelligence data mining machine learning advanced deep learning windspeed forecasting solar irradiation forecasting increased RES penetration smart grid scalability replicability FLEXITRANSTORE Angolan economy diversification strategic alternative biofuels |
ISBN | 3-0365-5712-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637792103321 |
Stavrakakis George S
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Applications of Computational Intelligence to Power Systems |
Autore | Kodogiannis Vassilis S |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (116 p.) |
Soggetto non controllato |
localization
reactive power optimization model predictive control CNN long short term memory (LSTM) meter allocation particle update mode combined economic emission/environmental dispatch glass insulator emission dispatch genetic algorithm grid observability defect detection feature extraction parameter estimation incipient cable failure active distribution system boiler load constraints multivariate time series particle swarm optimization inertia weight VMD NOx emissions constraints spatial features penalty factor approach self-shattering differential evolution algorithm short term load forecasting (STLF) genetic algorithm (GA) economic load dispatch least square support vector machine Combustion efficiency electricity load forecasting |
ISBN | 3-03921-761-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367747103321 |
Kodogiannis Vassilis S
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Applications of Mathematical Models in Engineering |
Autore | Dulf Eva H |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (418 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
fractional order IMC
first order plus dead-time processes event-based implementation numerical simulations comparative closed loop results nonlinear wave phenomen RBF local RBF-FD stability unmanned aerial vehicle (UAV) quaternion-based estimator low-cost design automatic optical inspection kinetic theory parallel robots robust control sliding mode control basinI basinII mean pressure head pressure head with different probabilities of occurrence standard deviation of the pressure fluctuations statistical modeling USBR desalination humidification-dehumidification waste heat recovery mathematical model yearly analysis thermo-economics multi-objective optimization cruise altitude fuel consumption time to climb Hermite-Simpson method trajectory optimization terminal residual analysis (TRA) m-σ terminal residual analysis (m-σ TRA) power transformer stray losses analytical methods finite element method gridshell structures shape ratio length ratio regularity particle swarm optimization genetic algorithm hybrid nanofluid dual solutions mixed convection stagnation point radiation stability analysis machine learning eXterme Gradient Boosting Computation Fluid Dynamics blade vibration unsteady aerodynamic model active disturbance rejection control (ADRC) multiobjective optimization time delay systems tuning rules soft robotics fractional calculus CACSD toolbox operating point linearization automatic uncertainty bound computation Model-in-the-Loop simulation hybrid simulation ℋ∞ control μ synthesis DC-to-DC power converters buck boost SEPIC rainfall-runoff model curve number inferential statistics 3D runoff difference model model calibration PAT model modified affinity laws hydraulic simulation tool μ-synthesis fractional-order control swarm optimization artificial bee colony optimization CNC machine mixed sensitivity D–K iteration Linear Matrix Inequality biotechnology fermentation process batch bioreactors modeling control system design and synthesis linear control adaptive control model reference adaptive control control system realization mixed-sensitivity FO-PID twin rotor aerodynamic system |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566464603321 |
Dulf Eva H
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
Autore | Lytras Miltiadis |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto non controllato |
artificial neural network
home energy management systems conditional random fields LR ELR energy disaggregation artificial intelligence genetic algorithm decision tree static young’s modulus price scheduling self-adaptive differential evolution algorithm Marsh funnel energy yield point non-intrusive load monitoring mud rheology distributed genetic algorithm MCP39F511 Jetson TX2 sustainable development artificial neural networks transient signature load disaggregation smart villages ambient assisted living smart cities demand side management smart city CNN wireless sensor networks object detection drill-in fluid ERELM sandstone reservoirs RPN deep learning RELM smart grids multiple kernel learning load feature extraction NILM energy management energy efficient coverage insulator Faster R-CNN home energy management smart grid LSTM smart metering optimization algorithms forecasting plastic viscosity machine learning computational intelligence policy making support vector machine internet of things sensor network nonintrusive load monitoring demand response |
ISBN | 3-03928-890-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404078103321 |
Lytras Miltiadis
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Automatic Control and Routing of Marine Vessels |
Autore | Veremey Evgeny |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (184 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
collision avoidance
ship domain fuzzy inference collision risk early warning system marine vessel tracking controller stability functional optimal damping fin stabilizer ship turning heel/roll reduction L2-gain uncertainty non-linearity ship motion control path-following guidance algorithm nonlinear feedback AIS Data trajectory prediction waterway transportation neural networks autonomous navigation multi-joint autonomous underwater vehicle (MJ-AUV) 3-dimensional modeling LQR LESO multicriteria route planning genetic algorithm particle swarm optimization oceanic meteorological routing cooperative game theory supply chain management supply disruption unmanned surface vehicle Guidance, Navigation and Control course keeping adaptive sliding mode unmanned surface vehicle (USV) system identification traditional neural network physics-informed neural network zigzag test |
ISBN | 3-0365-5920-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639998203321 |
Veremey Evgeny
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Battery Systems and Energy Storage beyond 2020 |
Autore | Birke Kai Peter |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (338 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
battery energy storage
renewable energy distribution network genetic algorithm particle swarm optimization electrolyte additive interface pseudocapacitance intercalation energy storage secondary battery sodium-ion lithium-ion battery traction battery waterjet-based recycling direct recycling life cycle assessment global warming potential electro-thermal model smart cell intelligent battery neural network temperature prediction DRT by time domain data pulse evaluation relaxation voltage online diagnosis degradation mechanisms EIS lead batteries safety concept safety battery battery monitoring electronic battery sensor failure modes failure distribution failure rates field battery investigation safe supply power supply system zinc ion batteries stationary energy storage polymer binder solvent doctor blade coating manganese dioxide mixing ratio electrochemical impedance spectroscopy SEM+EDX electrode fabrication lithium ion battery AC current injection bi-directional control charger lithium-ion battery cell volumetric expansion mechanical degradation state of charge dependency cell thickness mechanical aging non-uniform volume change solar photovoltaic energy redox flow battery residential load renewable energy integration battery sizing battery efficiency lithium battery temperature dependency ether based electrolyte insitu deposited lithium-metal electrode Coulombic efficiency lithium deposition morphology Li-ion battery thermal runaway model post-mortem analysis ecofriendly electrolyte for lithium-ion batteries increased thermal stability of electrolytes enhanced electrolyte safety based on high flash point tributylacetylcitrate acetyltributylcitrate electric vehicle battery disassembly disassembly planner design disassembly strategy optimization battery management system state monitoring state-of-charge digital twin battery model Doyle-Fuller-Newman model equivalent circuit model parameter estimation lithium-ion batteries temperature estimation sensorless temperature measurement artificial intelligence artificial neural network lithium-ion cells battery thermal management systems CFD simulations liquid cooling |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557610903321 |
Birke Kai Peter
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Challenges and Opportunities for the Renewable Energy Economy |
Autore | Reboredo Juan Carlos |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (166 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
day-ahead market
balancing market gate closure forecast uncertainty wind power forecast agent-based simulation the MATREM system drying solar energy sustainable processing energy efficiency global heat production energy market energy conversion electricity carbon trading palm oil producer renewable energy economy sustainable development clean development mechanism Sustainable Development Goals (SDGs) Malaysia energy planning Modern Portfolio Theory (MPT) Capital Asset Pricing Model (CAPM) low-carbon economy renewable energy deployment environmental efficiency pumped hydro storage wind farm simulated annealing genetic algorithm pattern search Matlab optimization toolbox economic and environment feasibility renewables low carbon interdependence copulas conditional quantiles liquefied natural gas cold energy regasification chilled water techno economic coevolution the fuel ethanol industry history-friendly model entry regulation ethanol mandate production subsidy R& D subsidy |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557648003321 |
Reboredo Juan Carlos
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 |
Vitelli Massimo
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Photovoltaic Systems |
Autore | Ogliari Emanuele |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (180 p.) |
Soggetto non controllato |
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 |
ISBN | 3-03921-099-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674025103321 |
Ogliari Emanuele
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data Analytics and Applications of the Wearable Sensors in Healthcare |
Autore | Syed Abdul Shabbir |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (498 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
eHealth
wearable monitoring services integration IoT Telemedicine wearable sensors multivariate analysis longitudinal study functional decline exercise intervention accidental falls fall detection real-world signal analysis performance measures non-wearable sensors accelerometers cameras machine learning smart textiles healthcare talking detection activity recognition and monitoring patient health and state monitoring wearable sensing orientation-invariant sensing motion sensors accelerometer gyroscope magnetometer pattern classification artificial intelligence supervised machine learning predictive analytics hemodialysis non-contact sensor heart rate respiration rate heart rate variability time-domain features frequency-domain features principal component analysis behaviour analysis classifier efficiency personal risk detection one-class classification actigraphy encoding data compression denoising edge computing signal processing wearables activity monitoring citizen science cluster analysis physical activity sedentary behavior walking energy expenditure wearable device impedance pneumography neural network mechanocardiogram (MCG) smart clothes heart failure (HF) left ventricular ejection fraction (LVEF) technology acceptance model (TAM) physical activity classification free-living GENEactiv accelerometer Gaussian mixture model hidden Markov model wavelets skill assessment deep learning LSTM state space model probabilistic inference latent features human activity recognition MIMU genetic algorithm feature selection classifier optimization bispectrum entropy feature extraction heat stroke filtering algorithm physiological parameters exercise experiment biomedical signal processing wearable biomedical sensors wireless sensor network respiratory monitoring optoelectronic plethysmography biofeedback biomedical technology exercise therapy orthopedics mobile health qualitative human factors inertial measurement unit disease prevention occupational healthcare P-Ergonomics precision ergonomics musculoskeletal disorders wellbeing at work electrocardiogram conductive gels noncontact electrode myocardial ischemia pacemaker ventricular premature contraction upper extremity motion action research arm test activities of daily living IoT wearable monitor health posture analysis spinal posture wearable sensor embedded system recurrent neural networks physical workload wearable systems for healthcare machine learning for real-time applications actigraph body worn sensors clothing sensors cross correlation analysis healthcare movement sensing wearable devices calibration inertial measurement units human movement physical activity type real-life GPS GIS |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557288603321 |
Syed Abdul Shabbir
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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