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Advanced Methods of Power Load Forecasting
Advanced Methods of Power Load Forecasting
Autore García-Díaz J. Carlos
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (128 p.)
Soggetto topico Physics
Research and information: general
Soggetto non controllato Artificial Neural Network
attention
bidirectional long short-term memory
CNN
deep learning
deep neural network
demand
DIMS
encoder decoder
forecast
galvanizing
Holt-Winters model
irregular
load
long-term forecasting
LSTM
machine learning
multi-layer stacked
multiple seasonality
neural network
online training
parameters tuning
peak load
power system
prophet model
Prophet model
recurrent neural network
short-term electrical load forecasting
short-term load forecast
short-term load forecasting
statistical analysis
time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576883403321
García-Díaz J. Carlos  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advancements in Biomonitoring and Remediation Treatments of Pollutants in Aquatic Environments
Advancements in Biomonitoring and Remediation Treatments of Pollutants in Aquatic Environments
Autore Ferri Elida Nora
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (270 p.)
Soggetto topico Chemistry
Research and information: general
Soggetto non controllato 1,4-dioxane
acute toxicity
adsorption
advanced oxidation processes
agrochemicals
anaerobic reduction
antioxidant enzymes
benzenesulfonamide
benzothiazole
benzotriazole
bioaccumulation
biomonitoring
bioremediation
biotoxicity tests
carp
catfish
chlorinated hydrocarbons
chromatography-mass spectrometry
Daphnia magna
dense nonaqueous-phase liquid (DNAPL)
detergents
dichloroethene (DCE)
dumping site
dye
dynamic
economic environmental protection instruments
ecotoxicology
electrochemical oxidation
emerging contaminants
enhanced reductive dechlorination (ERD)
ferrous lactate
freshwater pollution
Gibbula umbilicalis
glucocorticoids
green and sustainable remediation (GSR)
groundwater pollution
growth
health risk index
heavy metals
human health analysis
hydraulic model
in situ chemical reduction
integrative indexes
intestinal microbiota
intestinal morphology
isotherm models
kinetics
Lake Baikal
Lake Chapala
largemouth bass
marine bacteria
matrix constituents
metagenomics
methiocarb
microalgae
microplastics
monitoring
MWCNT
n/a
passive sampling
PCBs
Pearson coefficients
pesticides
pharmaceutical residues
photo-reactor
photoproducts
physico-chemical parameters
point sources
pollution
pollution costs
PTWI
seawater
statistical analysis
superfund
TBT-tolerance
tetrachloroethene (PCE)
thermodynamic
TiO2-solar light degradation
trace contaminants
transport phenomena
tributyltin
trichloroethene (TCE)
trichloroethylene (TCE)
Vibrio fisheri
water contamination
water pollution
water quality model
water quality sensors
WDS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580217203321
Ferri Elida Nora  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Antioxidants in Foods
Antioxidants in Foods
Autore Seiquer Isabel
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (418 p.)
Soggetto topico Biology, life sciences
Food & society
Research & information: general
Soggetto non controllato 7S basic globulins
acclimatisation
acetylcholinesterase
acid-resistant capsule
anthocyanin metabolites
anthraquinone
anti-inflammatory protein
antioxidant
antioxidant activity
antioxidant defences
antioxidant peptides
antioxidant protein
antioxidants
apo-carotenals
apoptosis
apples
ascorbate
ascorbate-glutathione cycle
ascorbic acid
avocados (Persea americana Mill.)
bioaccessibility
bioactive compounds
bioavailability
biodiversity
biological activity
bone
cancer
capsaicin
Capsicum annuum L.
cardioprotection
cardiovascular diseases
catalase
chemical reactions
chlorophyll and carotenoid content
chlorophyll fluorescence
colorimetry
composite flour
cyclic voltammetry
cyclooxygenase
cytokines
diabetes
dihydrocapsaicin
Dillenia indica
element of pork carcasses
extra virgin olive oil
fermentation
flavonoids
food by-products
food processing
free radical scavenging
free radicals
functional pasta
glutathione
gluten-free pasta
green tea extract
healthy cooking
heme oxygenase 1 (HO-1)
hepatoprotection
home-cooking
HPLC-DAD-MS/MS
in vitro culture
in vitro gastrointestinal digestion
in vitro relative bioaccessibility
inflammatory cytokines
iNOS
kombucha
legumes
limitations
lipoxygenase
liver injury
low temperatures
lycopene
Mediterranean diet
microencapsulation
n/a
NADP-dehydrogenases
nephroprotection
neuroprotection
NFκB
nitric oxide
nuclear factor erythroid 2-related factor 2 (Nrf2)
osteoclasts
oxidative stress
peroxidase
phenolic compounds
phenolics
plastochromanol-8
polyphenols
RAW 264.7 cells
red cabbage
reducing and chelating capacity
Rumex crispus
rye bread
seeds
skin disorders
skins
spectrometric analysis
spectrophotometer
statistical analysis
stevia plants
superoxide dismutase
sweet lupins group
synergy
tannase
tea
tocochromanols
tocopherols
tocotrienols
UHPLC-Q-Orbitrap HRMS
ultrasound
UPLC-ESI-QqQ-MS/MS
Vitis vinifera
whole grain
β-carotene
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557728503321
Seiquer Isabel  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia / Hao Wang, Xianyong Meng
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia / Hao Wang, Xianyong Meng
Autore Wang Hao
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (384 p.)
Soggetto topico Geography
Soggetto non controllato sensitivity analysis
non-point source pollution models
reservoirs
operation rule
East Asia
climate variability
Qinghai-Tibet Plateau (TP)
potential evapotranspiration
precipitation
capacity distribution
GLUE
soil temperature
land use change
JBR
CFSR
Jinsha River Basin
impact
runoff
CMADS
hydrological modeling
aggregated reservoir
reanalysis products
Lijiang River
spatio-temporal
uncertainty
total nitrogen
Han River
streamflow simulation
meteorological
CMADS-ST
Erhai Lake Basin
uncertainty analysis
Biliuhe reservoir
hydrological
bayesian model averaging
blue and green water flows
SUFI-2
TMPA-3B42V7
statistical analysis
satellite-derived rainfall
streamflow
satellite-based products
Xiang River basin
SWAT hydrological simulation
PERSIANN-CDR
hydrological processes
SUFI2
CMADS dataset
ParaSol
hydrological modelling
accumulation
meteorological input uncertainty
soil moisture content
Yellow River
SWAT
Noah LSM-HMS
sediment yield
Yalong River
TRMM
Penman-Monteith
IMERG
PERSIANN
hydrological elements
freeze–thaw period
land-use change
parameter sensitivity
China
reservoir parameters
soil moisture
sloping black soil farmland
hydrological model
SWAT model
hydrologic model
ISBN 9783039212361
3039212362
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346839103321
Wang Hao  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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 online resource (244 p.)
Soggetto topico Research & information: general
Soggetto non controllato artificial neural networks
Baltic area
climate
cloud
cloud coverage
cloud detection
coastal wind measurements
coastline
computational design method
convection
CSP plants
data processing
digitized image processing
electrical resistivity tomography
extreme value analysis
feature engineering
feature importance
forecasting
geophysical prospecting
geothermal energy
GES-CAL software
global radiation
graphical user interface software
Hazaki Oceanographical Research Station
hydropower reservoir
image processing
lake breeze influence
light gradient boosting machine
machine learning
machine learning techniques
metaheuristic
multistep-ahead prediction
parameter extraction
passive design strategy
photovoltaic power plant
plan position indicator
point cloud data
potential well field location
remote sensing
remote sensing data acquisition
renewable energy resource assessment and forecasting
satellite
scanning LiDAR
scatterometer
shading envelopes
sky camera
smart island
solar energy
solar energy resource
solar irradiance enhancement
solar irradiance estimation
solar irradiance forecasting
solar photovoltaic
solar radiation forecasting
statistical analysis
surface solar radiation
time domain electromagnetic method
total sky imagery
velocity volume processing
voxel-design approach
whale optimization algorithm
wind speed
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557427903321
Martins Fernando Ramos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Cosmological Inflation, Dark Matter and Dark Energy
Cosmological Inflation, Dark Matter and Dark Energy
Autore Bamba Kazuharu
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (236 p.)
Soggetto non controllato and components common to several branches of physics and astronomy
apparatus
astronomical and space-research instrumentation
Baryon Acoustic Oscillation (BAO)
brans-dicke theory
comparative planetology
composite dark matter
Cosmic Microwave Background (CMB) temperature
cosmo-particle physics
cosmoligical parameters
cosmological model
cosmological parameters
cosmology
dark atoms
dark energy
Dark Energy
dark energy model
dark energy models
dark matter
Dark Matter
de Sitter vacuum
dosmological parameters
dynamical Chern-Simons modified gravity
Einstein-Aether theory of gravity
extragalactic objects and systems
field theory
fundamental astronomy
galactic rotation curve
Hawking radiation
higher dimension gauged super-gravity black hole
Hubble constant
hyper-color
instruments
junction conditions
loop quantum cosmology
memory
n/a
normal galaxies
null hypersurfaces
parametrizations
particle physics
properties of specific particles
QCD
quantum gravity
quantum optical systems
quantum optics
quantum tunneling phenomenon
scalar-tensor gravity
spacetime symmetry
statistical analysis
Supernovae
ISBN 3-03921-765-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367746403321
Bamba Kazuharu  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Current Approaches and Applications in Natural Language Processing
Current Approaches and Applications in Natural Language Processing
Autore Montejo-Ráez Arturo
Descrizione fisica 1 online resource (476 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato abstractive summarization
Arabic
attention mechanism
attention model
automatic classification
automatic hate speech detection
Bert
BERT model
cause-effect relation
clinical text
conceptual modeling
concreteness
conditional random field
conversational AI
curriculum learning
data privacy
deception
deep learning
deep neural networks
DISC model
discourse analysis
discriminant function analysis
distributional semantics
document representation
dual multi-head attention
dual-stacked output
electronic health records
entity embedding
entity linking
fake news detection
fastText
feature fusion
federated learning
fine-grained named entity recognition
fine-tuning
geospatial data technology and application
global model
information retrieval
intent detection
inter-information relationship
k-stacked feature fusion
knowledge graph
language marker
language model
Latin American Spanish language models
LIME
linguistic corpus
linguistic cues
LIWC
machine learning
machine learning classifiers
machine reading comprehension
machine translation
mental disorder
monolingual models
mT5
multi-lingual transformer model
multi-modal dataset
multi-modal language model
multilingual models
multilingual pre-trained language model
multinomial naive bayes
multisource feature extraction
n/a
named entity recognition
named-entity recognition
natural language processing
neural machine translation
neural networks
personality recognition
pre-trained model
predictive model
pretrained language model
problem-solution pattern
quality estimation
query expansion
query generation
question answering
question difficult estimation
recurrent neural networks
relationship extraction
relevance feedback
retrieval-based question answering
RobBERT
semantic analysis
sentiment analysis
slot filling
social media
spaCy
stance detection
statistical analysis
task-oriented dialogue systems
text analysis
text classification
topic modeling
transfer learning
transformer
transformer models
transitive closure
trend analysis
unbalanced data problem
universal representation
Wikimedia Commons
WMT
word co-occurrence
word embeddings
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595079903321
Montejo-Ráez Arturo  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design of Alloy Metals for Low-Mass Structures
Design of Alloy Metals for Low-Mass Structures
Autore Toth Laszlo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (460 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 3D surface maps
acoustic emission
aggregation
Al-Cu-Li alloys
analytical modelling
anisotropy
APT and TEM characterization
architected cellular material
asymmetric ratio
austenite reconstruction
back pressure
bainite
bifurcation theory
clusters precipitation
CO2 emissions
collective dislocation dynamics
crack nucleation
crack opening displacement
creep
crystal plasticity
crystallographic texture
deformation twinning
dendritic grain size
diffraction
digital image correlation
direct reduction
directional solidification
disconnection density
discrete green operator
dislocation
dislocation density
dislocations
displacement discontinuity
DRI
ECAP
ECCI
elastic anisotropy
elastic properties
elastic/plastic incompatibilities
elasto-visco-plastic self-consistent (EVPSC) scheme
elasto-viscoplastic self-consistent scheme (EVPSC)
ERNiCrFe-7
excess nitrogen
fast Fourier transform (FFT)-based method
fatigue
Fe-Si and Fe-Cr nitrided alloys
finite element
Finite Element (FE) simulation
FM52 filler metal
gas tungsten arc welding
grain boundary sliding
grain refinement
grain size
groove rolling
H-activation
hardening
hardness
heat and mass transfer
heterogeneous kinetics
HEXRD
high entropy alloy
HPT consolidation
in situ experiments
in situ X-ray diffraction
industrial ingot
inoculation
internal stresses
iron ore
ironmaking
isothermal treatment
lateral extrusion ratio
lattice mismatch
lattice structures
localized necking
magnesium
magnesium powders
martensite
mathematical model
mechanical properties
metal matrix composite
microsegregation
microstructure
modeling
multiscale finite element method
nanoindentation
nickel-based single crystal superalloy
non-metallic inclusions
non-Schmid effects
numerical homogenization
P
Pd-10Au alloy
phase transformation
plastic flow machining
plasticity
polycrystalline β-Ti
porous materials
precipitation
Q&
rolling
scattered intensity
self consistent methods
shaft furnace
shape memory alloys
shear compression
simulated diffraction peaks
simulation
slip activity
solidification
statistical analysis
steel
steel ladle
strain hardening
strain heterogeneity
sub-voxel method
Taylor multiscale scheme
TEM
texture
thickness reduction per pass
TiAl alloys
tip undercooling
titanium
titanium aluminides
transition carbide
twinning
TWIP steel
variant
voxelization artifacts
VPSC
X-ray diffractometry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557522503321
Toth Laszlo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Empowering Materials Processing and Performance from Data and AI
Empowering Materials Processing and Performance from Data and AI
Autore Chinesta Francisco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (156 p.)
Soggetto topico Technology: general issues
Soggetto non controllato additive manufacturing
analytical model
artificial neural networks
Code2Vect
computational modeling
constitutive modeling
data driven
data mining
data-driven
data-driven mechanics
effective properties
elasto-visco-plasticity
FE-beam model
feature engineering
finite element model
Gaussian process
Gaussian process regression
GENERIC
hardness
high-throughput experimentation
hyperelasticity
laser shock peening
machine learning
manifold learning
mechanical properties
microcompression
microstructures
model calibration
model correction
multiscale
n/a
nanoindentation
nanoporous metals
neural networks
nonlinear
nonlinear regression
open-pore foams
physics based
plasticity
principal component analysis
residual stresses
sensitivity analysis
soft living tissues
spherical indentation
statistical analysis
stochastics
structure-property relationship
TDA
Ti-Mn alloys
topological data analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557717703321
Chinesta Francisco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Energy-Efficiency of Conveyor Belts in Raw Materials Industry
Energy-Efficiency of Conveyor Belts in Raw Materials Industry
Autore Marasová Daniela
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (136 p.)
Soggetto topico History of engineering and technology
Technology: general issues
Soggetto non controllato absorbed energy
belt conveyor
belt damage
belt indentation rolling resistance
belt tensile strength
conveyor belt
conveyor belts
damage
DEM simulation
diagnostics
energy-saving belt
hot spot detection
idler
image analysis
image fusion
inspection robot
inspection robotics
laboratory and in-service tests of conveyor components
magnetic method
n/a
NDT method
neural networks
noise emissions
puncture resistance
reverse engineering
rolling element bearing
rubber-textile conveyor belt
signal processing
sound
statistical analysis
steel-cord conveyor belt
support system
theoretical model
transfer station
transition section
transverse vibrations
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580208603321
Marasová Daniela  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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