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Selected Papers from the 16th International Symposium on Magnetic Bearings (ISMB16)
| Selected Papers from the 16th International Symposium on Magnetic Bearings (ISMB16) |
| Autore | Zhou Jin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (150 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
performance criteria
damping electrodynamic energy efficiency stability stiffness thrust bearing Active Magnetic Bearing AMB Internet of Things IoT Condition Monitoring magnetic spring optimal design component benchmarking compliant actuation parallel elastic actuators (PEA) series elastic actuators (SEA) axial gap self-bearing motor double stator structure 5-degrees of freedom active control design refinement ventricular assist device pediatric passive magnetic bearing viscoelastic material modeling rotor dynamics active magnetic bearing cost reduction active magnetic bearings kinetic energy storage fiber reinforced plastic fatigue testing thermal behavior self-sensing radial three-phase bearing space vector modulation electrodynamic bearing passive levitation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Selected Papers from the 16th International Symposium on Magnetic Bearings |
| Record Nr. | UNINA-9910557114103321 |
Zhou Jin
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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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Short-Term Load Forecasting 2019
| Short-Term Load Forecasting 2019 |
| Autore | Gabaldón Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
short-term load forecasting
demand-side management pattern similarity hierarchical short-term load forecasting feature selection weather station selection load forecasting special days regressive models electric load forecasting data preprocessing technique multiobjective optimization algorithm combined model Nordic electricity market electricity demand component estimation method univariate and multivariate time series analysis modeling and forecasting deep learning wavenet long short-term memory demand response hybrid energy system data augmentation convolution neural network residential load forecasting forecasting time series cubic splines real-time electricity load seasonal patterns Load forecasting VSTLF bus load forecasting DBN PSR distributed energy resources prosumers building electric energy consumption forecasting cold-start problem transfer learning multivariate random forests random forest electricity consumption lasso Tikhonov regularization load metering preliminary load short term load forecasting performance criteria power systems cost analysis day ahead feature extraction deep residual neural network multiple sources electricity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557494303321 |
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Gabaldón 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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