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Power Electronics Applications in Renewable Energy Systems
| Power Electronics Applications in Renewable Energy Systems |
| Autore | Jang Gilsoo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (258 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
isolated microgrid
renewable energy source diesel generator battery energy storage system hierarchical control power systems floquet multiplier poincaré map time series data DFIG renewable energy battery energy storage system (BESS) control strategy modular multilevel converter state-of-charge (SOC) equalization preliminary design optimization rotor loss guide vane outlet flow angle radial turbine CAES deadbeat control discrete space vector modulation computation efficiency model predictive control grid connected system three-level system T-type inverter PV diagnosis ESS application DC power flow DC system dynamics hybrid generation system phase-locked loop (PLL) synchronization hybrid filter low-cost hybrid converter bi-directional converter parallel configuration of converters converter for multi-MW wind generator offshore wind energy converter applications AC-DC matrix converter virtual space vector DC ripple reduction microgeneration solar energy photovoltaic crowd funding solid-state circuit breaker microgrid protection DC protection SSCB short-term load forecasting two-stage forecasting model combined cooling heating and power energy operation plan economic analysis calculation load iterative methods fault restoration distribution generation temporary fault ride-through voltage control inrush current control |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674051303321 |
Jang Gilsoo
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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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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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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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Signal Analysis in Power Systems
| Signal Analysis in Power Systems |
| Autore | Leonowicz Zbigniew |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (118 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
convolutional neural networks
multi-headed CNN CNN-LSTM forecasting solar output sliding window renewable energy data mining cluster analysis power quality global power quality index electrical power network distributed generation mining industry ward algorithm different working conditions power supply restoration power supply outages failures time intervals obtaining information information recognition connection harmonization virtual power plant distributed energy resources energy storage systems grid codes power systems smart grids prosumer business model economic efficiency sensitivity analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557105203321 |
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Leonowicz Zbigniew
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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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Smart Energy, Plasma and Nuclear Systems
| Smart Energy, Plasma and Nuclear Systems |
| Autore | Gabbar Hossam A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (106 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
plasma generator
LCL network LCCL network phase compensation ZVS control current tracing fault current distributed energy resources network model nuclear power plant renewable energy hybrid energy system combined heat and power nuclear fusion tokamak generation power plant power system electrical transmission grid balance of plant DEMO electric loads plasma power flow power supply power systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557722803321 |
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Gabbar Hossam A
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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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