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Advances in Transportation Meteorology
| Advances in Transportation Meteorology |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (304 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues Transport technology and trades |
| Soggetto non controllato |
activity density
agglomerate fog air pollution air quality attention mechanisms Bayesian optimization behavioral habits Beijing-Tianjin-Hebei region bias BiLSTM built environment change characteristics China civil aviation safety climate change climatology ConvLSTM CRITIC weight assignment method deep learning distribution dynamic ensemble selection early warning East Asia ensemble learning classifiers error decomposition expressway forecast forecast validation frequency fuzzy analytic hierarchy process geographical factors go-around high-speed railway highways land use mix low-level wind shear machine learning marginal sea meteorological conditions microwave radiometer data nowcasting observation observation data pavement temperature pavement temperature prediction phone signaling data pilot reports population distribution precipitation duration precipitation forecast PredRNN Qinling mountains rail breakage rainfall relative humidity review risk level prediction of fog-related accidents road blockage road hidden dangers road network vulnerability sea ice self-paced ensemble sequence Shapley additive explanations SHapley Additive exPlanations Siberian high spatial correlation spatial lag model spatiotemporal distribution teleconnection temperature time-series modeling total rainfall traffic flow conditions traffic vitality transportation meteorology urban meteorology variation characteristics vertical distribution visibility wind forecast wind shear winter icing Yellow Sea and Bohai Sea |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743274703321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Large Grid-Connected Wind Turbines
| Large Grid-Connected Wind Turbines |
| Autore | Muyeen S M |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (212 p.) |
| Soggetto non controllato |
automatic generation control
battery energy storage system control wind turbine de-loading DFIG-based wind farm distance protection Distributed-Flexible AC Transmission system (D-FACTS) Distribution Static Synchronous Compensator (D-STATCOM) Distribution Static VAr Compensator(D-SVC) doubly fed induction generator (DFIG) doubly-fed induction generator droop curve fault characteristics fault current limiters fault diagnosis and isolation Fault Ride Through (FRT) fault ride-through fractional order proportional-integral-differential controller fuzzy logic controller (FLC) hardware-in-the-loop kinetic energy storage large-scale wind farm load frequency control low voltage ride through (LVRT) LPV observer multi-objective artificial bee colony algorithm multiple sensor faults optimal control optimization permanent magnet synchronous generator PI controller power smoothing power system power wind turbine prediction intervals primary frequency control real fault cases reliability of electricity supplies reserve power rotor inertia series dynamic braking resistor squirrel cage induction generator (SCIG) superconductor transmission line wake effect wavelet neural network wind farm wind forecast wind power forecasting wind turbine allocation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346691203321 |
Muyeen S M
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||