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Assessment of Renewable Energy Resources with Remote Sensing
| Assessment of Renewable Energy Resources with Remote Sensing |
| Autore | Martins Fernando Ramos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
metaheuristic
parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557427903321 |
Martins Fernando Ramos
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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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Computational Intelligence Application in Electrical Engineering
| Computational Intelligence Application in Electrical Engineering |
| Autore | Barukčić Marinko |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (174 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
active distribution network
computational intelligence optimization algorithms optimal distribution system management optimal Smart Grid management advanced distribution system optimization renewable distributed generation Smart Grid optimization co-simulation computational intelligence techniques distributed generation optimal allocation and control power system protection overcurrent relays protection relays metaheuristic school-based optimizer electric markets photovoltaic generation Monte Carlo simulations power flow S-iteration process Newton-Raphson high order newton-like method computational efficiency line-start synchronous motor efficiency factor power factor optometric analysis transient models induction machine ant colony optimization predictive current control fuzzy logic control Takagi-Sugeno |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585942503321 |
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Barukčić Marinko
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva
| Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva |
| Autore | Ogliari Emanuele |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto non controllato |
artificial neural network
online diagnosis genetic algorithm renewable energy unit commitment photovoltaic panel power forecasting metaheuristic monitoring system embedded systems firefly algorithm tracking system MPPT algorithm integrated storage day-ahead forecast solar radiation prototype model artificial neural networks parameter extraction thermal image thermal model solar cell PV cell temperature evolutionary algorithms uncertainty battery harmony search meta-heuristic algorithm single-diode photovoltaic model symbiotic organisms search photovoltaics tilt angle smart photovoltaic system blind orientation photovoltaic particle swarm optimization analytical methods computational intelligence statistical errors ensemble methods solar photovoltaic electrical parameters demand response metaheuristic algorithm |
| ISBN |
9783039210992
3039210998 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674025103321 |
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Ogliari Emanuele
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| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Computation 2020
| Evolutionary Computation 2020 |
| Autore | Wang Gai-Ge |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (442 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
global optimization
cuckoo search algorithm Q-learning mutation self-adaptive step size evolutionary computation playtesting game feature game simulation game trees playtesting metric validation Pareto optimality h-index ranking dominance Pareto-front multi-indicators multi-metric multi-resources citation universities ranking swarm intelligence simulated annealing krill herd particle swarm optimization quantum elephant herding optimization engineering optimization metaheuristic constrained optimization multi-objective optimization single objective optimization differential evolution success-history premature convergence turning-based mutation opposition-based learning ant colony optimization opposite path traveling salesman problems whale optimization algorithm WOA binary whale optimization algorithm bWOA-S bWOA-V feature selection classification dimensionality reduction menu planning problem evolutionary algorithm decomposition-based multi-objective optimisation memetic algorithm iterated local search diversity preservation single-objective optimization knapsack problem travelling salesman problem seed schedule many-objective optimization fuzzing bug detection path discovery evolutionary algorithms (EAs) coevolution dynamic learning performance indicators magnetotelluric one-dimensional inversions geoelectric model optimization problem multi-task optimization multi-task evolutionary computation knowledge transfer assortative mating unified search space quantum computing grey wolf optimizer 0-1 knapsack problem green shop scheduling fuzzy hybrid flow shop scheduling discrete artificial bee colony algorithm minimize makespan minimize total energy consumption |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557699203321 |
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Wang Gai-Ge
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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 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 electronic resource (350 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
electricity markets
economic dispatch optimization maximum capacity online operation power system unit commitment circuit breaker network modeling optimal power flow wind and solar energies gas insulated switchgear partial discharges electromagnetic wave propagation UHF measurement Security-Constraint Unit Commitment sensitivity factors user cuts power line communication (PLC) energy storage management vehicle to grid (V2G) smart grid multi-objective optimization population-based intelligent optimization algorithm multi-behavior combination algorithm framework Economic load dispatch (ELD) dragonfly algorithm metaheuristic particle swarm optimization cold-thermal-electricity integrated energy system multi-energy complementation feasible interval of load rate multi-objective multi time scales optimize operation earthing earthing system optimisation Ansys Maxwell sensitivity analysis touch voltage non-linear programming security-constrained OPF preventive control corrective control post-contingency overflow transmission line thermal inertia Three-phase optimal power flow voltage regulation distributed generation distribution transformer taps linear OPF problem shift-factors line outage distribution factors security-constrained corrective formulation preventive formulation klystron IOT resotrode efficiency microwave bunching computer simulation global optimization power quality disturbances classification feature selection swarm optimization support vector machine genetic algorithm K-NN algorithm decision tree S-transform optimization techniques hydroelectric renewable energy MCDM fuzzy theory FANP TOPSIS quadratically constrained quadratic programming contingency constrained optimal power flow isolated hybrid microgrid system (IHμGS) solar tower (ST) biodiesel power generator (BDPG) frequency regulation butterfly optimization technique (BOA) microgrid energy management electric vehicle microgrid energy efficiency |
| 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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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 | Basel, Switzerland : , : MDPI, , 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 |
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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| Basel, Switzerland : , : MDPI, , 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 | Basel, Switzerland : , : MDPI, , 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 |
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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| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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PV System Design and Performance
| PV System Design and Performance |
| Autore | Sark Wilfried van |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (360 p.) |
| Soggetto non controllato |
fault diagnosis
modeling simulation fault tree analysis photovoltaic system Bartlett’s test metaheuristic population density spatial analyses AC parameters parameter estimation fiber reinforced polymeric plastic (FRP) Hartigan’s dip test energy image processing real data photovoltaic (PV) systems monitoring forecast photovoltaic plants system graphical malfunction detection defects STATCOM photo-generated current performance analysis photovoltaic module performance solar energy urban context thermal interaction underdamped oscillation reliability membership algorithm photovoltaic systems availability fuzzy logic controller ANOVA solar farm energy yield cluster analysis photovoltaics annual yield residential buildings PV array PV system dc-dc converter quasi-opposition based learning grid-connected performance ratio organic soiling vegetated/green roof conventional roof membrane UV-fluorescence imaging PV thermal performance PV systems failure mode and effect analysis ageing and degradation of PV-modules sheet molding compound FRP Jarque-Bera’s test Tukey’s test technical costs Kruskal-Wallis’ test improved cuckoo search algorithm PV energy performance pultruded FRP cracks maximum power point tracking (MPPT) structural design software development floating PV generation structure malfunction detection modules photovoltaic performance maximum power point GIS impedance spectroscopy floating PV systems (FPV) solar cells Renewable Energy loss analysis shade resilience Scanning Electron Microscopy (SEM) failure detection optimization problem failure rates FCM algorithm stability analysis reactive power support mooring system buck converter Mood’s Median test photovoltaic modeling module architecture PV module data analysis partial shading opposition-based learning silicon floating PV module (FPVM) electroluminescence urban compactness |
| ISBN | 3-03921-623-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367741703321 |
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Sark Wilfried van
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 1) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
geographic information system (GIS)
pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence |
| ISBN | 3-0365-5338-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464703321 |
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Paraforos Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (322 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
geographic information system (GIS)
pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence |
| ISBN | 3-0365-5336-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464803321 |
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Paraforos Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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