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Machine Learning for Energy Systems
| Machine Learning for Energy Systems |
| Autore | Sidorov Denis N |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
abnormal defects
Adaptive Neuro-Fuzzy Inference System artificial intelligence blockchain blockchain technology cast-resin transformers classification classification and regression trees clustering component accident set cyber-physical systems data evolution mechanism decision tree energy internet energy management system energy router energy storage energy systems ensemble empirical mode decomposition extreme learning machine fatigue forecasting harmonic impedance harmonic impedance identification harmonic parameter harmonic responsibility hierarchical clustering high permeability renewable energy hybrid AC/DC power system hybrid interval forecasting industrial mathematics information security insulator fault forecast integrated energy system intelligent control Interfacial tension inverse problems linear regression model linearization load leveling machine learning maintenance monitoring data without phase angle MOPSO algorithm offshore wind farm optimization parameter estimation partial discharge pattern recognition photovoltaic output power forecasting power control power quality QoS index of energy flow relevance vector machine renewable energy source risk assessment rule extraction sample entropy scheduling optimization smart microgrid stochastic optimization time series forecasting traction network transformer oil parameters vacuum tank degasser Volterra equations Volterra models vulnerability wavelet packets wind power: wind speed: T-S fuzzy model: forecasting wind turbine |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557678803321 |
Sidorov Denis N
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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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Power Electronics in Renewable Energy Systems / Teuvo Suntio, Tuomas Messo
| Power Electronics in Renewable Energy Systems / Teuvo Suntio, Tuomas Messo |
| Autore | Suntio Teuvo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (604 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
washout filter
turbine and generator unbalanced power grid PV transient dynamics multi-input single output (MISO) permanent magnet synchronous generator (PMSG) static frequency characteristics impedance analysis FACTS devices coordinated control improved additional frequency control experiment resonant controller two-stage photovoltaic power voltage cancellation energy power matching LCL filter adaptive-MPPT (maximum power point tracking) VSC active power filter perturb and observe coordination control voltage-type control multiple VSGs wind power prediction linear quadratic regulator multiport converter (MPC) grid support function power ripple elimination adaptive resonant controller phase space reconstruction sliding mode control impedance emulation photovoltaic systems grid-connected converter SVM photovoltaic generators power grid active front-end converter THD type-4 wind turbine inertia ROCOF microgrid coupled oscillators multilevel power converter DC-AC power converters internal model back-to-back converter duty-ratio constraints selective harmonic mitigation parallel inverters discontinuous conduction mode droop control step size grid-connected inverter short-circuit fault energy router oscillation mitigation improved-VSG (virtual synchronous generator) source and load impedance synchronverter digital signal processor (DSP) TMS320F28335 operation optimization battery-energy storage generator speed control electrical power generation virtual impedance weak grid doubly-fed induction generator grid synchronization Energy Internet open circuit voltage state-of-charge balancing renewable power system control strategies adaptive notch filter (ANF) renewable energy hardware in the loop (HIL) energy storage microgrids inertia and damping characteristics electric vehicle multi-energy complementary static compensator stability battery energy storage system power-hardware-in- the-loop electricity price notch filter time series distorted grid oscillation suppression phase-locked loop (PLL) modules organic Rankine cycle failure zone Opal-RT Technologies® distributed generation modular multilevel converter governor microgrid (MG) second-life battery thermoelectric generator stability analysis wind energy system variable coefficient regulation single ended primary inductor converter (SEPIC) error soft switching power electronics PLL SPWM virtual synchronous generator perturbation frequency phase shifted grid-connected inverter cloud computing low inertia boost converter impedance reshaping small-signal and transient stability speed control multivariate linear regression photovoltaic adaptive control frequency regulation variable power tracking control power converters maximum power point tracking virtual admittance synchronization peak-current-mode control dynamic modeling discontinuous operation mode demand response |
| ISBN |
9783039210459
3039210459 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346844203321 |
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Suntio Teuvo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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