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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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Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
| Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes |
| Autore | Gao Zhiwei |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
acetonitrile
additive white Gaussian noises (AWGN) association matrix behavior transfer belief statistic cascading failures CFSFDP algorithm close distance coal seams coarse model complex network theory condition monitoring constitutive model control chart control problem cumulative distribution function data-driven methods dead time deep deterministic policy gradient deep reinforcement learning deviation control distributed generation (DG) distributed model predictive control drilling machine energy conversion systems event-based EWT failure criterion fast Fourier transform (FFT) Fast-Newman algorithm fault classification fault diagnosis fault prognosis flexible flow shop flexible flow shop scheduling flotation process full-heat integration fuzzy logic gamma distribution goaf gob-side entry retaining by roof cutting graph theory hardware experiment Holmquist-Johnson-Cook constitutive model of briquette Hopfield neural network Hybrid Attack Graph improved compact genetic algorithm in-situ monitoring incomplete data INSGA-II Level-of-Resilience limited buffer link-addition strategy load identification local scheduling loop design memetic salp swarm algorithm microalgae MIMO temperature control in heating process system multi-input and multi-output system multi-input multi-output (MIMO) temperature system multi-linear principal component analysis (MPCA) multi-objective optimization multi-queue limited buffers multiscale fuzzy entropy n/a neutrosophic statistic non-pillar nonlinear adaptive backstepping controller disturbance observer numerical simulation oil and gas optimal nonlinear adaptive control parameter acquisition parameter uncertainties perturbation observer PID PNN pole-zero cancelation potential crowding distance power systems pressure swing distillation probability density function of the Gaussian distribution process control public buffer raceway reactive power optimization reagent dosage refrigeration reinforcement learning resilient control roadway supporting self-learning semiconductor bonding equipment-grouping method separation simulated annealing algorithm slow-mode-based control split Hopkinson pressure bar experiment stability state-action chains static and dynamic planning steam power plant steam/water loop stress distribution temperature difference temperature differences time series froth image topology transfer bees optimizer transient response tunnel boring machine uncorrelated multi-linear principal component analysis (UMPCA) variable geometry turbocharger voltage source converter water wind turbine wind turbine systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338303321 |
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Gao Zhiwei
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electric Systems for Transportation
| Electric Systems for Transportation |
| Autore | Ruvio Alessandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (690 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
adaptive control
adaptive control theory alternating direction method of multipliers ancillary services anti-lock braking system battery aging battery electric vehicles battery fuel gauge battery management system (BMS) battery management systems bilevel model capacity fade charging strategy city bus control strategy controlled charging controller cost model deep decarbonization deep reinforcement learning (DRL) diesel engine distribution network voltage regulation dQ/dV dual active bridge DC-DC converter dual-polarization model dV/dQ eco-driving efficiency electric bus electric power systems electric vehicle electric vehicles electric vehicles (EVs) electric-drive vehicle electrical installation electrical power systems electrical transport electrical vehicle energy efficiency energy management energy storage systems energy-optimized vehicle trajectories environmental impacts equivalent consumption minimization strategy EV motor inverter fast terminal sliding mode control fault diagnosis fractional-order model frequency regulation fuel consumption fuel economy full-bridge phase-shift DC-DC converter fuzzy logic system G2V gearbox genetic algorithm global optimization grid-side effects heavy-duty vehicles high power density home energy management system hybrid electric bulldozer hybrid electric vehicle hybrid electric vehicles hybrid Kalman filter hybrid powertrain hydraulic accumulator hydraulic power systems independent-drive technology input-parallel output-parallel input-parallel output-series input-series input-parallel output-series output-parallel input-series output-parallel input-series output-series internal resistances inverter life cycle assessment lithium-ion lithium-ion battery marine transport mathematical modeling microgrid more electric aircraft (MEA) multilevel converter multimodule DC-DC converters natural gas engine non-linear non-uniform air-gap on-board charger open-circuit voltage optimal torque distribution optimization optimization algorithm particle swarm algorithm particle swarm optimization PEM fuel cell system PFCM-ABC-SVM photovoltaic photovoltaic potentials plug-in electric vehicles plug-in hybrid policy incentive power converters power fade power grid power smoothing power systems power-split power-split hybrid predictive control public charging infrastructure public charging station public transport PV railway railway transport range constraint reused battery review road freight transport road freight vehicle road operation test robust estimation robust optimization rotor hole placement rotor structure route guidance strategies shift-by-wire (SBW) signalized intersections simulation SOC estimation state of charge state of health stochastic charging demands stochastic optimization supercapacitor sustainability sustainable development switched reluctance motor (SRM) TCO time-varying road network torque ripple total cost of ownership tracked vehicle traffic signal control transmission transportation ultra-fast charging ultracapacitor V2G vehicle vehicle dynamics model vehicle selection vehicle stock turnover model vehicle-grid integration vehicle-to-home wireless power transfer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557407803321 |
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Ruvio Alessandro
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electrical Power and Energy Systems for Transportation Applications / Chris Bingham, Paul Stewart
| Electrical Power and Energy Systems for Transportation Applications / Chris Bingham, Paul Stewart |
| Autore | Bingham Chris |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2017 |
| Descrizione fisica | 1 electronic resource (XX, 572 p.) |
| Soggetto non controllato |
electrical power systems
distributed power systems electrical drives electric vehicles power electronics renewable energy energy management power systems power generation energy systems energy conversion electrical machines |
| ISBN |
9783038422426
3038422428 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910220021203321 |
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Bingham Chris
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| MDPI - Multidisciplinary Digital Publishing Institute, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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HVDC/FACTS for Grid Services in Electric Power Systems
| HVDC/FACTS for Grid Services in Electric Power Systems |
| Autore | Maza-Ortega José M |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ancillary services
black start breakers CHIL communication latency compensation ability congestion management continuous commutation failures control strategies current-limiting inductors DC blocking distribution networks disturbance observer double frequency ripples dynamic capacitor emergency power support FACTS fault current limiters field testing frequency control grid services harmonics High voltage direct current (HVDC) high voltage direct current (HVDC) transmission HVDC systems HVDC systems based on voltage source converters (VSC-HVDC) HVDC transmission hybrid AC/DC networks hybrid DC circuit breaker hybrid multi-terminal HVDC hybrid power quality compensation system imbalance suppression inductive unbalanced load korean power system lab testing LCC loss management model reference control MTDC multi-terminal neural network non-linear control non-superconducting fault current limiters passive-based control PHIL power compensation power oscillations power quality power system analysis power systems reactive power compensation replica review stability standards STATCOM subsynchronous resonance (SSR) synchronous power controller synchronous voltage reversal (SVR) test signal method the thyristor-controlled L and C-type filter (TCL-CTF) thyristor controlled series capacitor (TCSC) transient stability unbalanced grid conditions UPFC virtual synchronous machine voltage and reactive power control voltage source converter VSC VSC-HVDC |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557634303321 |
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Maza-Ortega José M
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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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Integration of Renewable and Distributed Energy Resources in Power Systems
| Integration of Renewable and Distributed Energy Resources in Power Systems |
| Autore | Román Tomás Gómez San |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptability planning
attack detection congestion management continuity of supply controlled charging cyber-physical systems decentralized control delayed charging demand response demand side management distributed energy resources (DERs) distributed generation curtailment dynamic pricing ecological infrastructures electric vehicles emergency control grid impact high penetration integrated assessment for public space inverter regulation load flow analysis load forecasting low-voltage distribution network machine learning Micro-grids microgrid microgrids optimisation methods peak shaving photovoltaics power distribution power quality power system operation power system planning power system security power systems power systems stability recloser reinforcement learning renewable electricity distribution for public space renewable energy renewable energy integration renewable energy sources small hydropower plants source-grid coordination sustainability assessment model synchronous coupler tripartite altruism uncontrolled charging urban renewable energy V2B V2G V2H valley filling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557544203321 |
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Román Tomás Gómez San
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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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Operation, Regulation and Planning of Power and Natural Gas Systems
| Operation, Regulation and Planning of Power and Natural Gas Systems |
| Autore | Reneses Javier |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (162 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
bidding formats
copula day-ahead electricity markets distributed solar PV earnings electricity market electricity markets electricity price forecasting energy trading entropy equilibrium analysis expansion planning feasible operation financial analysis fundamental-econometric models game theory-Cournot model gas markets industrial park integrated energy system information theory investor-owned utility market design market structural breaks medium-term representation min-max regret value natural gas price uncertainty natural-gas market net-energy metering optimization models portfolio portfolio management power purchase agreements power systems PPA pricing rules ratepayer bills records theory regret aversion renewable energy sources retail rates return on equity risk risk assessment thermal generation unit commitment wholesale electricity markets |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557118403321 |
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Reneses Javier
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization Methods Applied to Power Systems: Volume 1 / Raúl Baños Navarro, Francisco G. Montoya
| Optimization Methods Applied to Power Systems: Volume 1 / Raúl Baños Navarro, Francisco G. Montoya |
| Autore | Baños Navarro Raúl |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico | History of engineering and technology |
| 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 |
9783039211319
3039211315 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859603321 |
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Baños Navarro Raúl
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization Methods Applied to Power Systems: Volume 2 / Raúl Baños Navarro, Francisco G. Montoya
| Optimization Methods Applied to Power Systems: Volume 2 / Raúl Baños Navarro, Francisco G. Montoya |
| Autore | Baños Navarro Raúl |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto topico | History of engineering and technology |
| 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 |
9783039211579
3039211579 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859503321 |
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Baños Navarro Raúl
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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