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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 online resource (252 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
Advanced Metering Infrastructure (AMI)
aggregation times ancillary services battery energy storage system (BESS) charging station cloud services common mode current common mode voltage congestion management correlation analysis demand Distributed Energy Resources (DER) Distribution Management System (DMS) electric vehicles electromagnetic interference Energy PLAN energy storage system (ESS) Flower Pollination Algorithm (FPA) generator rescheduling global MPP (GMPP) Graph Reduction in Parallel (GRIP) grid grid connected inverters harmonic analysis householder algorithm hybrid renewable energy sources (HRES) Intelligent Electronic Device (IED) Intelligent Platform Management Interface (IPMI) inverter LBSS load maximum demand (MD) maximum demand reduction (MDRed) model measurement techniques mitigation modulation techniques MPPT technique nature-inspired algorithms net energy metering (NEM) partial shading photovoltaic systems power flow power quality power systems Pumped Hydro Storage Unit (PHSU) PV PV system Quasi-Z source inverter (QZSI) RBFNOEHO technique reactive power renewable energy rotor angle secure computing Service Oriented Architecture (SOA) small signal stability smart meter solar solar PV transformer trust management Ultra Large-Scale System (ULSS) user-aware power regulatory model voltage variations wavelet packet wavelet transform Y source inverter (YSI) |
| 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 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 |
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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 online resource (118 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
business model
cluster analysis CNN-LSTM connection harmonization convolutional neural networks data mining different working conditions distributed energy resources distributed generation economic efficiency electrical power network energy storage systems failures forecasting global power quality index grid codes information recognition mining industry multi-headed CNN obtaining information power quality power supply outages power supply restoration power systems prosumer renewable energy sensitivity analysis sliding window smart grids solar output time intervals virtual power plant ward algorithm |
| 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 | ||
| ||