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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
| Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (100 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
deep learning
energy demand temporal convolutional network time series forecasting time series forecasting exponential smoothing electricity demand residential building energy efficiency clustering decision tree time-series forecasting evolutionary computation neuroevolution photovoltaic power plant short-term forecasting data processing data filtration k-nearest neighbors regression autoregression |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557776003321 |
Gómez Vela Francisco A
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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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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1 |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664203321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664103321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
| Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (258 p.) |
| Soggetto non controllato |
artificial neural network
home energy management systems conditional random fields LR ELR energy disaggregation artificial intelligence genetic algorithm decision tree static young’s modulus price scheduling self-adaptive differential evolution algorithm Marsh funnel energy yield point non-intrusive load monitoring mud rheology distributed genetic algorithm MCP39F511 Jetson TX2 sustainable development artificial neural networks transient signature load disaggregation smart villages ambient assisted living smart cities demand side management smart city CNN wireless sensor networks object detection drill-in fluid ERELM sandstone reservoirs RPN deep learning RELM smart grids multiple kernel learning load feature extraction NILM energy management energy efficient coverage insulator Faster R-CNN home energy management smart grid LSTM smart metering optimization algorithms forecasting plastic viscosity machine learning computational intelligence policy making support vector machine internet of things sensor network nonintrusive load monitoring demand response |
| ISBN | 3-03928-890-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404078103321 |
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Lytras Miltiadis
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Climate Change, Climatic Extremes, and Human Societies in the Past
| Climate Change, Climatic Extremes, and Human Societies in the Past |
| Autore | Lee Harry F |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (140 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
soil moisture-temperature coupling
heatwaves multiple time scales correlation dimension method Geogdetector method interaction effect multi-scale climate change war imperial China Global Moran's I Emerging Hot Spot Analysis plague direct and indirect effects Structural Equation Modelling drought regional interaction North China Famine of 1876-1879 human diet hierarchy bronze age carbon and nitrogen stable isotope ratios decision tree random forest precipitation prediction machine learning Yangtze River valley Yellow River valley rice cultivation millet cultivation precipitation Neolithic China |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557473403321 |
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Lee Harry F
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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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Diagnosis of dementia and cognitive impairment / / special issue editor, Andrew J. Larner
| Diagnosis of dementia and cognitive impairment / / special issue editor, Andrew J. Larner |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (140 p.) |
| Disciplina | 616.8/31075 |
| Soggetto topico |
Cognition disorders - Diagnosis
Dementia - Diagnosis |
| Soggetto non controllato |
screening
MoCA neurodegeneration accuracy frontotemporal dementia cognitive assessment Free-Cog molecular imaging Alzheimer’s standardised mini-mental state examination decision tree differential diagnosis depression vs. MCI/dementia computerized cognitive assessment quantification Alzheimer’s disease functional cognitive disorder diagnosis Triple Test diagnostic imaging neurocognitive disorder feasibility TYM-MCI amyloid cerebrospinal fluid dementia precision medicine Mini-Addenbrooke’s Cognitive Examination memory depression in old age quick mild cognitive impairment screen cognition nuclear medicine TYM Rapid Cognitive Screen 18F-FDG functional neurological disorder cognition stroke sensitivity and specificity Codex mortality mild cognitive impairment cognitive screening instruments cognitive impairment aging SKT (Syndrome-Kurztest) PET executive function |
| ISBN | 3-03921-885-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367738703321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems
| Hydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems |
| Autore | Kim Jong-Suk |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico |
Research & information: general
Meteorology & climatology |
| Soggetto non controllato |
flood risk
urban flood forecasting and warning inland-river combined flood system LSTM artificial neural network neurons layers temperature South Korea deep learning reference evapotranspiration climate change drought meteorological extremes climatic variables wind speed extreme El Niño event tropical cyclone tropical cyclone-induced precipitation China Bayesian approach nonstationarity reanalysis products quantile delta mapping ranges of flood sizes specific flood distributions ungauged watersheds influence of rainfall characteristics depth-averaged temperature decision tree lifetime maximum intensity climate variability seasonality dengue fever vector rainfall Bangladesh copula function drought duration drought severity land-ocean temperature contrast/meridional temperature gradient standardized precipitation evapotranspiration index |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566470503321 |
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Kim Jong-Suk
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Bottleneck : Theory and Applications in Deep Learning
| Information Bottleneck : Theory and Applications in Deep Learning |
| Autore | Geiger Bernhard |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (274 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
information theory
variational inference machine learning learnability information bottleneck representation learning conspicuous subset stochastic neural networks mutual information neural networks information bottleneck compression classification optimization classifier decision tree ensemble deep neural networks regularization methods information bottleneck principle deep networks semi-supervised classification latent space representation hand crafted priors learnable priors regularization deep learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Information Bottleneck |
| Record Nr. | UNINA-9910557582803321 |
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Geiger Bernhard
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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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Intelligent Control in Energy Systems
| Intelligent Control in Energy Systems |
| Autore | Dounis Anastasios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (508 p.) |
| Soggetto non controllato |
energy management system
artificial neural network control architecture intelligent buildings sensitivity analysis neural networks active balance photovoltaic system fast frequency response artificial intelligence MPPT operation model uncertainty load frequency control decision tree multi-agent control hybrid power plant Fault Ride Through Capability optimization small scale compressed air energy storage (SS-CAES) smart micro-grid current distortion hybrid electric vehicle parameter estimation railway ANFIS solar monitoring system urban microgrids phase-load balancing model reduction high-speed railway energy internet coordination of reserves differential evolution photovoltaic array ancillary service adjacent areas instantaneous optimization minimum power loss model predictive control HVAC systems sliding mode control MPPT: maximum power point tracking power oscillations thyristor interaction minimization occupancy model fuzzy logic controller power transformer winding RLS integrated energy systems vibration characteristics battery safety error estimation error compensation static friction convolutional neural network forecasting continuous voltage control medium voltage bridgeless SEPIC PFC converter building climate control PEM fuel cell proton exchange membrane fuel cell compound structured permanent-magnet motor occupancy-based control four phases interleaved boost converter long short term memory line switching lithium-ion battery pack back propagation (BP) neural network doubly-fed induction generator double forgetting factors current controller design repetitive controller exhaust gas recirculation (EGR) valve system neural network controller step-up boost converter internal short circuit resistance electric power consumption electric vehicle multiphysical field analysis energy efficiency multi-energy complementary system identification ?-synthesis network sensitivity intelligent control ?-class function frequency support multi-step forecasting frequency containment reserve orthogonal least square rule-based control industrial process hierarchical Petri nets wind integrated power system probabilistic power flow voltage controlling adaptive backstepping AC-DC converters line loss demand side management energy systems short-circuit experiment winding-fault characteristics neutral section stochastic power system operating point drift neural network algorithm operation limit violations fractional order fuzzy PID controller preventive control AC static switch battery packs model-based fault detection automotive application nonlinear power systems adaptive damping control pilot point energy management position control frequency control dead band fuzzy voltage violations distribution network planning frequency regulation energy management strategy multiple-point control electric meter polynomial expansion commercial/residential buildings system modelling three-stage soft internal short circuit demand response |
| ISBN | 3-03921-416-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367565403321 |
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Dounis Anastasios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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