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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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Optimization Methods Applied to Power Systems: Volume 1
| Optimization Methods Applied to Power Systems: Volume 1 |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto non controllato |
Stackelberg game
MILP optimal congestion threshold magnetic field mitigation simulation multi-objective particle swarm optimization virtual power plant internal defect day-ahead load forecasting neural network modular predictor multi-objective particle swarm optimization algorithm stochastic optimization dragonfly algorithm unit commitment metaheuristic multi-population method (MP) optimization tabu search considerable decomposition loss minimization active distribution system islanded microgrid dynamic solving framework feature selection electric energy costs power factor compensation dependability interactive load overhead energy internet evolutionary computation wind power developed grew wolf optimizer underground ETAP fuzzy algorithm electric vehicles Schwarz's equation evolutionary algorithms electric power contracts congestion management optimizing-scenarios method building energy management system particle encoding method ringdown detection HOMER software DC optimal power flow prosumer constrained parameter estimation distributed generations (DGs) strong track filter (STF) transient stability calibration cost minimization radiance decentralized and collaborative optimization hybrid renewable energy system renewable energy sources rural electrification distribution network reconfiguration interval variables optimization methods particle swarm optimization hierarchical scheduling micro grid AC/DC hybrid active distribution consensus artificial bee colony CCHP system data center support vector machine affinity propagation clustering extended Kalman filter affine arithmetic linear discriminant analysis (LDA) current margins heterogeneous networks Cameroon hybrid method distributed heat-electricity energy management discrete wind driven optimization fitness function cross-entropy GenOpt wind energy demand uncertainty UC off-design performance genetic algorithm energy storage the biomimetic membrane computing power system optimization electric vehicle power architectures economic load dispatch problem (ELD) runner-root algorithm (RRA) Cable joint battery energy storage system load curtailment integration assessment power system unit commitment artificial lighting power flow hybrid membrane computing two-point estimation method low-voltage networks demand bidding non-sinusoidal circuits energy flow model power transfer distribution factors sustainability HVAC system voltage deviation street light points radial basis function energy storage system charging/discharging power systems intelligent scatter search MV/LV substation optimal power flow stochastic state estimation eight searching sub-regions chaos optimization algorithm (COA) mutual information theory inter-turn shorted-circuit fault (ISCF) C&I particle swarm optimization multiobjective optimization passive shielding sub-Saharan Africa micro-phasor measurement unit geometric algebra bio-inspired algorithms adaptive consensus algorithm energy management PCS efficiency multi-stakeholders generalized generation distribution factors the genetic algorithm based P system JAYA algorithm thermal probability density power optimization pumped-hydro energy storage smart grid two-stage feature selection piecewise linear techniques photovoltaic SOCP relaxations switched reluctance machine (SRM) optimal reactive power dispatch optimal operation controllable response off-grid active shielding transformer-fault diagnosis IEEE Std. 80-2000 principal component analysis demand response |
| ISBN | 3-03921-131-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Optimization Methods Applied to Power Systems |
| Record Nr. | UNINA-9910346859603321 |
|
Montoya Francisco G
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization Methods Applied to Power Systems: Volume 2
| Optimization Methods Applied to Power Systems: Volume 2 |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto non controllato |
Stackelberg game
MILP optimal congestion threshold magnetic field mitigation simulation multi-objective particle swarm optimization virtual power plant internal defect day-ahead load forecasting neural network modular predictor multi-objective particle swarm optimization algorithm stochastic optimization dragonfly algorithm unit commitment metaheuristic multi-population method (MP) optimization tabu search considerable decomposition loss minimization active distribution system islanded microgrid dynamic solving framework feature selection electric energy costs power factor compensation dependability interactive load overhead energy internet evolutionary computation wind power developed grew wolf optimizer underground ETAP fuzzy algorithm electric vehicles Schwarz's equation evolutionary algorithms electric power contracts congestion management optimizing-scenarios method building energy management system particle encoding method ringdown detection HOMER software DC optimal power flow prosumer constrained parameter estimation distributed generations (DGs) strong track filter (STF) transient stability calibration cost minimization radiance decentralized and collaborative optimization hybrid renewable energy system renewable energy sources rural electrification distribution network reconfiguration interval variables optimization methods particle swarm optimization hierarchical scheduling micro grid AC/DC hybrid active distribution consensus artificial bee colony CCHP system data center support vector machine affinity propagation clustering extended Kalman filter affine arithmetic linear discriminant analysis (LDA) current margins heterogeneous networks Cameroon hybrid method distributed heat-electricity energy management discrete wind driven optimization fitness function cross-entropy GenOpt wind energy demand uncertainty UC off-design performance genetic algorithm energy storage the biomimetic membrane computing power system optimization electric vehicle power architectures economic load dispatch problem (ELD) runner-root algorithm (RRA) Cable joint battery energy storage system load curtailment integration assessment power system unit commitment artificial lighting power flow hybrid membrane computing two-point estimation method low-voltage networks demand bidding non-sinusoidal circuits energy flow model power transfer distribution factors sustainability HVAC system voltage deviation street light points radial basis function energy storage system charging/discharging power systems intelligent scatter search MV/LV substation optimal power flow stochastic state estimation eight searching sub-regions chaos optimization algorithm (COA) mutual information theory inter-turn shorted-circuit fault (ISCF) C&I particle swarm optimization multiobjective optimization passive shielding sub-Saharan Africa micro-phasor measurement unit geometric algebra bio-inspired algorithms adaptive consensus algorithm energy management PCS efficiency multi-stakeholders generalized generation distribution factors the genetic algorithm based P system JAYA algorithm thermal probability density power optimization pumped-hydro energy storage smart grid two-stage feature selection piecewise linear techniques photovoltaic SOCP relaxations switched reluctance machine (SRM) optimal reactive power dispatch optimal operation controllable response off-grid active shielding transformer-fault diagnosis IEEE Std. 80-2000 principal component analysis demand response |
| ISBN | 3-03921-157-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Optimization Methods Applied to Power Systems |
| Record Nr. | UNINA-9910346859503321 |
|
Montoya Francisco G
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||