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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
| Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids |
| Autore | Simões Marcelo Godoy |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (202 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system
artificial intelligence asynchronous motor automatic generation control back propagation algorithm CNN-LSTM cognitive meters condition assessment convolutional neural network current balancing algorithm Data Envelopment Analysis (DEA) decision optimization deep learning deep reinforcement learning distribution network equipment droop curve electric load forecasting electricity forecasting energy Internet error differentiation frequency regulation Fuzzy Analytical Network Process (FANP) fuzzy iteration fuzzy logic fuzzy neural network control Fuzzy Theory knowledge embed level-shifted SPWM linear active disturbance rejection control load disaggregation long-term forecasting (LTF) machine learning medium-term forecasting (MTF) medium-voltage applications meta-heuristic algorithms motor drives multi information source multi-layer perceptron multilevel current source inverter NILM non-dominated sorting genetic algorithm II non-technical losses particle swarm optimization phase-shifted carrier SPWM renewable energy reserve power semi-supervised learning short-term forecasting (STF) smart grid solar power plant STATCOM state machine the rate of change of frequency thermostatically controlled loads vector control very short-term forecasting (VSTF) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557103703321 |
Simões Marcelo Godoy
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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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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 |
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Muyeen S M
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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