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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 electronic resource (202 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
droop curve
frequency regulation fuzzy logic the rate of change of frequency reserve power smart grid energy Internet convolutional neural network decision optimization deep reinforcement learning electric load forecasting non-dominated sorting genetic algorithm II multi-layer perceptron adaptive neuro-fuzzy inference system meta-heuristic algorithms automatic generation control fuzzy neural network control thermostatically controlled loads back propagation algorithm particle swarm optimization load disaggregation artificial intelligence cognitive meters machine learning state machine NILM non-technical losses semi-supervised learning knowledge embed deep learning distribution network equipment condition assessment multi information source fuzzy iteration current balancing algorithm level-shifted SPWM medium-voltage applications multilevel current source inverter motor drives phase-shifted carrier SPWM STATCOM electricity forecasting CNN–LSTM very short-term forecasting (VSTF) short-term forecasting (STF) medium-term forecasting (MTF) long-term forecasting (LTF) asynchronous motor linear active disturbance rejection control error differentiation vector control renewable energy solar power plant Data Envelopment Analysis (DEA) Fuzzy Analytical Network Process (FANP) Fuzzy Theory |
| 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 electronic resource (212 p.) |
| Soggetto non controllato |
doubly-fed induction generator
fault current limiters power system power smoothing fault characteristics prediction intervals wind forecast PI controller transmission line wake effect real fault cases reliability of electricity supplies load frequency control optimization reserve power battery energy storage system wind turbine allocation primary frequency control low voltage ride through (LVRT) de-loading fault ride-through fault diagnosis and isolation fractional order proportional-integral-differential controller multi-objective artificial bee colony algorithm Fault Ride Through (FRT) distance protection droop curve Distribution Static VAr Compensator(D-SVC) Distributed-Flexible AC Transmission system (D-FACTS) rotor inertia power wind turbine LPV observer doubly fed induction generator (DFIG) squirrel cage induction generator (SCIG) wind farm optimal control fuzzy logic controller (FLC) wind power forecasting wavelet neural network DFIG-based wind farm permanent magnet synchronous generator automatic generation control series dynamic braking resistor hardware-in-the-loop superconductor Distribution Static Synchronous Compensator (D-STATCOM) control wind turbine kinetic energy storage multiple sensor faults large-scale wind farm |
| 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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