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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Microgrids: Planning, Protection and Control
| Microgrids: Planning, Protection and Control |
| Autore | Gabbar Hossam A |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (248 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
augmenting path
battery energy storage system battery swap station charging station control tuning controller validation critical clearing times data reduction DC microgrid demand management demand response demand uncertainty Demand-Side Management DER DER-CAM diesel generators distributed generation economic dispatch problem electric vehicle electricity markets frequency stability full time-series optimization grid-feeding photovoltaics grid-forming battery storage systems hybrid power plant Isolated/Islanded Microgrids load flow mathematical optimization measurement uncertainties micro-grid Microgrid microgrids MILP model-based design nonlinear programming formulation off-grid electricity systems operation optimal reallocation of batteries optimization planning power conditioner system power flow control power fluctuations power quality power system renewable energy renewable energy sources run-time scalable microgrid simulation small-signal analysis smart grid stand-alone hybrid microgrids state-space model system stability degree the micro-hybrid method transient stability assessment Vehicle-to-Grid voltage stability XENDEE |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Microgrids |
| Record Nr. | UNINA-9910566479303321 |
Gabbar Hossam A
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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