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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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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 online resource (118 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
business model
cluster analysis CNN-LSTM connection harmonization convolutional neural networks data mining different working conditions distributed energy resources distributed generation economic efficiency electrical power network energy storage systems failures forecasting global power quality index grid codes information recognition mining industry multi-headed CNN obtaining information power quality power supply outages power supply restoration power systems prosumer renewable energy sensitivity analysis sliding window smart grids solar output time intervals virtual power plant ward algorithm |
| 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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