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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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Modelling and Process Control of Fuel Cell Systems
| Modelling and Process Control of Fuel Cell Systems |
| Autore | Hussain Mohd Azlan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (130 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
anode oxidation
carbon formation catalyst cathode material cogeneration Colebrook equation control synthesis direct methanol fuel cell environmental sustainability flow friction factor fuel cell fuel cells guidelines hybrid system IM induction generator internal reforming LCA LIBs membrane electrode assembly methanol crossover mine blast optimizer n/a numerically stabile solution off-line calculation open-cathode optimal design power density pressure drop review robust model predictive control roughness simulation SOFC solid oxide fuel cell symbolic regression wind energy |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557478103321 |
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Hussain Mohd Azlan
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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