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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 electronic resource (690 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
electric bus
vehicle selection road operation test sustainable development more electric aircraft (MEA) multilevel converter high power density electric vehicles (EVs) independent-drive technology deep reinforcement learning (DRL) optimal torque distribution wireless power transfer non-linear fast terminal sliding mode control power converters efficiency energy storage systems electrical power systems hydraulic power systems hydraulic accumulator ultracapacitor lithium-ion battery dual-polarization model fractional-order model SOC estimation hybrid Kalman filter vehicle–grid integration distribution network voltage regulation alternating direction method of multipliers railway transport eco-driving energy efficiency optimization algorithm power systems ancillary services EV motor inverter electrical installation on-board charger vehicle-to-home home energy management system hybrid electric bulldozer tracked vehicle control strategy adaptive control power smoothing electric vehicles public charging station bilevel model range constraint hybrid electric vehicles equivalent consumption minimization strategy power-split hybrid heavy-duty vehicles diesel engine natural gas engine hybrid powertrain supercapacitor fuel consumption mathematical modeling electric vehicle city bus gearbox transmission optimization hybrid electric vehicle power-split fuel economy particle swarm optimization route guidance strategies stochastic charging demands time-varying road network shift-by-wire (SBW) switched reluctance motor (SRM) non-uniform air-gap rotor hole placement torque ripple rotor structure electrical transport electrical vehicle marine transport railway battery electric vehicles signalized intersections energy-optimized vehicle trajectories vehicle dynamics model road freight transport vehicle stock turnover model deep decarbonization road freight vehicle electric-drive vehicle lithium-ion dQ/dV dV/dQ frequency regulation V2G G2V fault diagnosis PEM fuel cell system PFCM-ABC-SVM ultra-fast charging multimodule DC-DC converters dual active bridge DC-DC converter full-bridge phase-shift DC-DC converter input-series output-series input-series output-parallel input-parallel output-parallel input-parallel output-series input-series input-parallel output-series output-parallel battery aging plug-in electric vehicles energy management global optimization state of health particle swarm algorithm genetic algorithm simulation plug-in hybrid microgrid photovoltaic robust optimization stochastic optimization battery management systems battery fuel gauge state of charge power fade capacity fade robust estimation predictive control environmental impacts life cycle assessment review anti-lock braking system fuzzy logic system controller vehicle traffic signal control cost model total cost of ownership TCO charging strategy public transport sustainability reused battery adaptive control theory battery management system (BMS) internal resistances open-circuit voltage policy incentive public charging infrastructure power grid grid-side effects photovoltaic potentials controlled charging electric power systems transportation PV inverter |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557407803321 |
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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Evolutionary Algorithms in Intelligent Systems
| Evolutionary Algorithms in Intelligent Systems |
| Autore | Milani Alfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (144 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
multi-objective optimization problems
particle swarm optimization (PSO) Gaussian mutation improved learning strategy big data interval concept lattice horizontal union sequence traversal evolutionary algorithms multi-objective optimization parameter puning parameter analysis particle swarm optimization differential evolution global continuous optimization wireless sensor networks task allocation stochastic optimization social network optimization memetic particle swarm optimization adaptive local search operator co-evolution PSO formal methods in evolutionary algorithms self-adaptive differential evolutionary algorithms constrained optimization ensemble of constraint handling techniques hybrid algorithms association rules mining algorithm vertical union neuroevolution neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557623203321 |
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Milani Alfredo
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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 for Energy Systems
| Machine Learning for Energy Systems |
| Autore | Sidorov Denis N |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
vacuum tank degasser
rule extraction extreme learning machine classification and regression trees wind power: wind speed: T–S fuzzy model: forecasting linearization machine learning photovoltaic output power forecasting hybrid interval forecasting relevance vector machine sample entropy ensemble empirical mode decomposition high permeability renewable energy blockchain technology energy router QoS index of energy flow MOPSO algorithm scheduling optimization Adaptive Neuro-Fuzzy Inference System insulator fault forecast wavelet packets time series forecasting power quality harmonic parameter harmonic responsibility monitoring data without phase angle parameter estimation blockchain energy internet information security forecasting clustering energy systems classification integrated energy system risk assessment component accident set vulnerability hybrid AC/DC power system stochastic optimization renewable energy source Volterra models wind turbine maintenance fatigue power control offshore wind farm Interfacial tension transformer oil parameters harmonic impedance traction network harmonic impedance identification linear regression model data evolution mechanism cast-resin transformers abnormal defects partial discharge pattern recognition hierarchical clustering decision tree industrial mathematics inverse problems intelligent control artificial intelligence energy management system smart microgrid optimization Volterra equations energy storage load leveling cyber-physical systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557678803321 |
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Sidorov Denis N
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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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Microgrids
| Microgrids |
| Autore | Guerrero Josep M |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (108 p.) |
| Soggetto non controllato |
energy management system
buck-boost converter generic object oriented substation event (GOOSE) communication stochastic optimization optimal dispatch decision tree coordinated control optimization congestion problems distributed optimization IEC 61850 Standard distributed energy resources (DERs) technical and economic optimization reliability evaluation power quality disturbances renewable DC microgrid HESS ruleless EV extension theory network planning integrated electrical and thermal grids reliability photovoltaic feasibility flexibility microgrid test facility microgrid multiresolution small-scale standalone microgrid IEC 61850 direct search method (DSM) maximum electrical efficiency load frequency control (LFC) droop control flexible generation grid independence frequency control particle swarm optimization battery storage microgrid stability controller (MSC) doubly fed induction machine coordinative optimization of energy power distribution hierarchical control scheme grounding operation electric energy market nonlinear programming cost and life total sliding-mode control distributed energy resource vehicle information system peak-cut smoothing wind power genetic algorithm medium-voltage networks vehicle-to-grid devices scheduling microgrids energy storage electric vehicle energy efficiency active filter embedded system multivariable generalized predictive control (MGPC) load power sharing flywheel energy storage (FES) renewable sources telecommunication power management micro-grid smart inverter distributed generation storage systems electric vehicle (EV) microgrid (MG) mesh configuration residential users renewable energy source radial configuration S-transform optimal power flow solid oxide fuel cell vehicle-to-grid (V2G) communication delay current harmonic reduction smart grids inrush current flexible and configurable architecture optimal capacity ESS effective rate smart grid multi-agent distributed energy resources regular EV peak-shift datacenter deterministic optimization plug and play chaos synchronization detection residential power systems power quality combined power generation system DC distribution isolated grid coordinated control strategy DC architectures predictive control demand-side management distributed generation (DG) curtailment |
| ISBN | 3-03921-869-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372785803321 |
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Guerrero Josep M
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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 |
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Montoya Francisco G
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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
| 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 |
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Montoya Francisco G
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Renewable Energy and Energy Saving: Worldwide Research Trends
| Renewable Energy and Energy Saving: Worldwide Research Trends |
| Autore | Perea-Moreno Alberto-Jesus |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
BIPV window
WWR overall energy tilt angle visual comfort energy saving semi-arid wind power generation artificial neural networks chargeability factor reactive power capacity wind speed and demand curves energy management systems multi-objective function optimal set-points stochastic optimization wind farm operation expert survey renewable energy biogas biomethane biogas plant business model political support system building performance value co-creation value add maintenance management hospital buildings optimal power flow power flow optimization algorithms DC networks electrical energy optimization willingness to pay minigrids rural electrification Ghana hospital building maintenance critical success factor value-based practices importance-performance matrix analysis renewable energy sources non-conventional renewable energy sources RES NCRES electric power system information environment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Renewable Energy and Energy Saving |
| Record Nr. | UNINA-9910585942803321 |
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Perea-Moreno Alberto-Jesus
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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