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Recent Numerical Advances in Fluid Mechanics
| Recent Numerical Advances in Fluid Mechanics |
| Autore | San Omer |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (302 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
Abaqus Finite Element Analysis (FEA)
adaptive filter Arbitrary Lagrangian Eulerian backward-facing step body fitted buildings closure model coherent structures compressible flow computational aerodynamics computational fluid dynamics computational fluid dynamics (CFD) simulation crater dimensions cubic B-spline basis functions deep residual neural network explicit filtering explicit time integration finite element method (FEM) fluid-structure interaction Galerkin method Galerkin projection heat transfer hydraulic fracturing immersed boundary internal combustion engines jet Kolmogorov n-width Kutta condition Large Eddy Simulation (LES) large eddy simulations (LES) LES liquid-cooling system meshless point collocation method monolithic method multiple drop impact n/a non-linear Schrödinger equation OpenFOAM PIV pollution dispersion pressure tunnel proper orthogonal decomposition RANS closures reduced order model reduced order modeling Reynolds stress tensor separated flow shock capturing stream function stream function-vorticity formulation strong form transient flow transient incompressible Navier-Stokes turbulence turbulent flows uncertainty quantification Updated Lagrangian urban area variational multiscale method vector flow fields volume-of-fluid vorticity wall layer model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557406603321 |
San Omer
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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 online resource (324 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
building electric energy consumption forecasting
bus load forecasting cold-start problem combined model component estimation method convolution neural network cost analysis cubic splines data augmentation data preprocessing technique day ahead DBN deep learning deep residual neural network demand response demand-side management distributed energy resources electric load forecasting electricity electricity consumption electricity demand feature extraction feature selection forecasting hierarchical short-term load forecasting hybrid energy system lasso load forecasting Load forecasting load metering long short-term memory modeling and forecasting multiobjective optimization algorithm multiple sources multivariate random forests Nordic electricity market pattern similarity performance criteria power systems preliminary load prosumers PSR random forest real-time electricity load regressive models residential load forecasting seasonal patterns short term load forecasting short-term load forecasting special days Tikhonov regularization time series transfer learning univariate and multivariate time series analysis VSTLF wavenet weather station selection |
| 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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