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Machine Learning and Data Mining Applications in Power Systems
| Machine Learning and Data Mining Applications in Power Systems |
| Autore | Leonowicz Zbigniew |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (314 p.) |
| Soggetto topico |
Energy industries and utilities
History of engineering and technology Technology: general issues |
| Soggetto non controllato |
2-150 kHz
agglomerative ANFIS battery energy storage systems (BESS) binary-coded genetic algorithms cluster analysis cluster analysis (CA) clustering conducted disturbances COVID-19 critical infrastructure Data Injection Attack data mining demand response demand-side management demographic characteristic dictionary impulsion different batteries discrete cosine transform discrete Haar transform discrete wavelet transform distributed energy resources distributed energy resources (DER) energy management energy storage systems energy storage systems (ESS) frequency estimation fuzzy logic global index harmonics, cancellation, and attenuation of harmonics Hidden Markov Model home energy management household energy consumption induction generator integrated renewable energy system intentional emission K-means load profile long-term assessment low-voltage networks machine learning mains signalling MPPT n/a neural network non-intentional emission nonlinear loads off-grid microgrid optimal power scheduling optimization techniques Power Line Communications (PLC) power network disturbances power quality power quality (PQ) power system power systems renewable energy short term conditions short-term forecast singular value decomposition smart grid smart grids social distancing sparse signal decomposition spectrum interpolation supervised dictionary learning supraharmonics THDi time series time-varying reproduction number transient stability assessment variable speed WECS virtual power plant virtual power plant (VPP) water treatment plant waveform distortion wind energy wind energy conversion system |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576877503321 |
Leonowicz Zbigniew
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Energy Systems: Efficiency and Optimization
| Sustainable Energy Systems: Efficiency and Optimization |
| Autore | Brent Alan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (182 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
concentrating solar power
CRITIC method critical loads CSP cumulative-exergy consumption minimisation decision making electric vehicles emissions trading scheme energy and economy transition energy efficiency energy in buildings energy planning energy resilience energy storage energy systems optimisation energy-system design exergy analysis flexible demand generation expansion plan geographic information systems HOMER Pro household energy consumption household energy metabolism household energy metabolism assessment methods international energy security risk index internet of things IoT applications microgrids multi-energy systems multicollinearity test multicollinearity test with variance inflation factors multiple regression analysis municipal energy systems New Zealand optimal expansion planning optimal operational strategy passive energy potential assessment public institution renewable energy renewable energy systems renewable portfolio standards resilient energy systems smart energy systems smart grid solar thermal South Africa techno-economic analysis urban metabolism |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Energy Systems |
| Record Nr. | UNINA-9910557616503321 |
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Brent Alan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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