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Advanced Modeling and Research in Hybrid Microgrid Control and Optimization
| Advanced Modeling and Research in Hybrid Microgrid Control and Optimization |
| Autore | Bizon Nicu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (264 p.) |
| Soggetto topico |
Energy industries & utilities
Technology: general issues |
| Soggetto non controllato |
51 percent attack
automatic generation control battery Blockchain Governance Game capacitor cascaded multilevel inverter connected car consumer planning consumption monitoring controllers current imbalance differential flatness double feed induction generator double-layer capacitor dynamic programming electric vehicle energy management energy storage systems firefly algorithm fluctuation theory fuel cell system fuel cell vehicle fuel economy genetic algorithms gravitational search algorithm grid frequency and amplitude support grid-tied mode Harris hawks optimizer (HHO) hybrid gravitational with fire fly algorithm interconnected power system interleaved converter Internet of Vehicles IoT security IoV leakage current load frequency control load-following location-allocation problem LQR-PI control microgrid mixed game mobile charging station moth flame optimizer (MFO) multi-stack multisource power system nonlinear control operational mode optimization issue optimization techniques photovoltaic Polymer Electrolyte Membrane Fuel Cell (PEMFC) power electronics power quality real-time optimization real-time strategy renewable energy renewable energy sources second order equation smart grid stability analysis stochastic model supercapacitor switching strategy wind technology (WT) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557439603321 |
Bizon Nicu
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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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AI Applications to Power Systems
| AI Applications to Power Systems |
| Autore | Tjing Lie Tek |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (156 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
artificial neural networks
automatic P2P energy trading cellular computational networks change detection contingency data analytics data mining deep Q-network deep reinforcement learning dynamic mode decomposition event detection feature extraction filtering fuzzy system inter-area oscillations load flow prediction long short-term delayed reward machine learning machine-learning manta ray foraging optimization algorithm Markov decision process modal analysis multi-objective function n/a optimal power flow optimization optimization techniques power quality radial networks reduced order modeling self-healing grid signal processing situation awareness steady-state security assessment total variation smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566478903321 |
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Tjing Lie Tek
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data-Intensive Computing in Smart Microgrids
| Data-Intensive Computing in Smart Microgrids |
| Autore | Herodotou Herodotos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
AMI
automatic generation control battery energy storage systems big data analytics cloud computing data-intensive smart application deep learning demand response demand response programs electricity consumption electricity load forecasting electricity theft detection electricity thefts energy management energy trade contract Extreme Learning Machine feature selection fog computing Genetic Algorithm green community green data center Grid Search imbalanced data intelligent control methods load forecasting microgrid multi-objective energy optimization n/a NB-PLC optimization techniques photovoltaic processing time real time power management real-time systems renewable energy renewable energy sources resource allocation response time scheduling SG single/multi-area power system smart grid smart grids smart meter soft computing control methods Support Vector Machine TL virtual inertial control wind |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557603203321 |
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Herodotou Herodotos
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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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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| 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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Optimization Methods Applied to Power Systems Ⅱ
| Optimization Methods Applied to Power Systems Ⅱ |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (350 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
algorithm framework
Ansys Maxwell biodiesel power generator (BDPG) bunching butterfly optimization technique (BOA) circuit breaker classification cold-thermal-electricity integrated energy system computer simulation contingency constrained optimal power flow corrective control corrective formulation decision tree distributed generation distribution transformer taps dragonfly algorithm earthing earthing system economic dispatch Economic load dispatch (ELD) efficiency electric vehicle electricity markets electromagnetic wave propagation energy efficiency energy storage management FANP feasible interval of load rate feature selection frequency regulation fuzzy theory gas insulated switchgear genetic algorithm global optimization hydroelectric IOT isolated hybrid microgrid system (IHμGS) K-NN algorithm klystron line outage distribution factors linear OPF problem maximum capacity MCDM metaheuristic microgrid microgrid energy management microwave multi time scales multi-behavior combination multi-energy complementation multi-objective multi-objective optimization network modeling non-linear programming online operation optimal power flow optimisation optimization optimization techniques optimize operation partial discharges particle swarm optimization population-based intelligent optimization algorithm post-contingency overflow power line communication (PLC) power quality disturbances power system preventive control preventive formulation quadratically constrained quadratic programming renewable energy resotrode S-transform security-constrained security-constrained OPF Security-Constraint Unit Commitment sensitivity analysis sensitivity factors shift-factors smart grid solar tower (ST) support vector machine swarm optimization thermal inertia Three-phase optimal power flow TOPSIS touch voltage transmission line UHF measurement unit commitment user cuts vehicle to grid (V2G) voltage regulation wind and solar energies |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557780003321 |
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Montoya Francisco G
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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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Renewable-Based Microgrids: Design, Control and Optimization
| Renewable-Based Microgrids: Design, Control and Optimization |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
across-time-and-space energy transmission
alpha tuned EHO AOA algorithm battery storage energy BESS biased initialization biomass system carbon emissions control system cooperative multi-objective optimization critical node identification cultural-based DC multi-microgrid system demand-side management (DSM) distributed generations (DGs) distribution network double diode economic dispatch electric vehicle elephant herding optimization energy cost energy management systems (EMS) fault-tolerant Franklin's and Coulomb's algorithm GWO heap-based optimizer isolated microgrids metaheuristics microgrid architecture microgrids management modular multilevel converter (MMC) multi-agent system multi-energy carrier n/a optimal energy management optimization optimization algorithm optimization model optimization techniques parameter identification photovoltaics PSO PV renewable energy renewable energy resources renewable energy sources renewable energy sources (RES) resilience single diode smart infrastructure solar cell systems sooty tern optimization SPWMLSC SPWMPSC STHILSC STHIPSC three diodes uncertainty voltage source modular multilevel converter (VSMMC) waste to energy (W2E) wind turbine |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Renewable-Based Microgrids |
| Record Nr. | UNINA-9910743279803321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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