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Applications of Computational Intelligence to Power Systems
| Applications of Computational Intelligence to Power Systems |
| Autore | Kodogiannis Vassilis S |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (116 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
active distribution system
boiler load constraints CNN combined economic emission/environmental dispatch Combustion efficiency defect detection differential evolution algorithm economic load dispatch electricity load forecasting emission dispatch feature extraction genetic algorithm genetic algorithm (GA) glass insulator grid observability incipient cable failure inertia weight least square support vector machine localization long short term memory (LSTM) meter allocation model predictive control multivariate time series NOx emissions constraints parameter estimation particle swarm optimization particle update mode penalty factor approach reactive power optimization self-shattering short term load forecasting (STLF) spatial features VMD |
| ISBN | 3-03921-761-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367747103321 |
Kodogiannis Vassilis S
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data-Intensive Computing in Smart Microgrids
| Data-Intensive Computing in Smart Microgrids |
| Autore | Herodotou Herodotos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
AMI
automatic generation control battery energy storage systems big data analytics cloud computing data-intensive smart application deep learning demand response demand response programs electricity consumption electricity load forecasting electricity theft detection electricity thefts energy management energy trade contract Extreme Learning Machine feature selection fog computing Genetic Algorithm green community green data center Grid Search imbalanced data intelligent control methods load forecasting microgrid multi-objective energy optimization n/a NB-PLC optimization techniques photovoltaic processing time real time power management real-time systems renewable energy renewable energy sources resource allocation response time scheduling SG single/multi-area power system smart grid smart grids smart meter soft computing control methods Support Vector Machine TL virtual inertial control wind |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557603203321 |
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Herodotou Herodotos
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||