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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 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Energy industries & utilities |
| Soggetto non controllato |
virtual power plant (VPP)
power quality (PQ) global index distributed energy resources (DER) energy storage systems (ESS) power systems long-term assessment battery energy storage systems (BESS) smart grids conducted disturbances power quality supraharmonics 2-150 kHz Power Line Communications (PLC) intentional emission non-intentional emission mains signalling virtual power plant data mining clustering distributed energy resources energy storage systems short term conditions cluster analysis (CA) nonlinear loads harmonics, cancellation, and attenuation of harmonics waveform distortion THDi low-voltage networks optimization techniques different batteries off-grid microgrid integrated renewable energy system cluster analysis K-means agglomerative ANFIS fuzzy logic induction generator MPPT neural network renewable energy variable speed WECS wind energy conversion system wind energy frequency estimation spectrum interpolation power network disturbances COVID-19 time-varying reproduction number social distancing load profile demographic characteristic household energy consumption demand-side management energy management time series Hidden Markov Model short-term forecast sparse signal decomposition supervised dictionary learning dictionary impulsion singular value decomposition discrete cosine transform discrete Haar transform discrete wavelet transform transient stability assessment home energy management binary-coded genetic algorithms optimal power scheduling demand response Data Injection Attack machine learning critical infrastructure smart grid water treatment plant power 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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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 electronic resource (248 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
hybrid power plant
off-grid electricity systems model-based design state-space model voltage stability frequency stability small-signal analysis control tuning controller validation critical clearing times diesel generators grid-feeding photovoltaics grid-forming battery storage systems stand-alone hybrid microgrids system stability degree the micro-hybrid method transient stability assessment power flow control power fluctuations renewable energy sources demand uncertainty augmenting path renewable energy microgrids simulation optimization battery energy storage system economic dispatch problem nonlinear programming formulation optimal reallocation of batteries mathematical optimization battery swap station charging station demand management demand response electric vehicle electricity markets power quality Vehicle-to-Grid smart grid power system distributed generation micro-grid load flow measurement uncertainties Isolated/Islanded Microgrids planning operation Demand-Side Management Microgrid DER MILP run-time full time-series optimization data reduction DER-CAM XENDEE DC microgrid power conditioner system scalable microgrid |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Microgrids |
| Record Nr. | UNINA-9910566479303321 |
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Gabbar Hossam A
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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