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Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
| Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis |
| Autore | Bracale Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (252 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
Advanced Metering Infrastructure (AMI)
Distributed Energy Resources (DER) Distribution Management System (DMS) Graph Reduction in Parallel (GRIP) Intelligent Electronic Device (IED) Intelligent Platform Management Interface (IPMI) Service Oriented Architecture (SOA) Ultra Large-Scale System (ULSS) photovoltaic systems MPPT technique partial shading global MPP (GMPP) nature-inspired algorithms congestion management power flow generator rescheduling Flower Pollination Algorithm (FPA) Pumped Hydro Storage Unit (PHSU) ancillary services grid inverter PV reactive power solar Quasi-Z source inverter (QZSI) Y source inverter (YSI) energy storage system (ESS) hybrid renewable energy sources (HRES) demand load RBFNOEHO technique common mode current common mode voltage modulation techniques electromagnetic interference mitigation grid connected inverters rotor angle small signal stability householder algorithm power systems electric vehicles charging station transformer Energy PLAN renewable energy maximum demand (MD) solar PV battery energy storage system (BESS) net energy metering (NEM) maximum demand reduction (MDRed) model power quality voltage variations PV system aggregation times correlation analysis harmonic analysis wavelet transform wavelet packet measurement techniques cloud services trust management secure computing smart meter LBSS user-aware power regulatory model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557490303321 |
Bracale Antonio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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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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Signal Analysis in Power Systems
| Signal Analysis in Power Systems |
| Autore | Leonowicz Zbigniew |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (118 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
convolutional neural networks
multi-headed CNN CNN-LSTM forecasting solar output sliding window renewable energy data mining cluster analysis power quality global power quality index electrical power network distributed generation mining industry ward algorithm different working conditions power supply restoration power supply outages failures time intervals obtaining information information recognition connection harmonization virtual power plant distributed energy resources energy storage systems grid codes power systems smart grids prosumer business model economic efficiency sensitivity analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557105203321 |
|
Leonowicz Zbigniew
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||