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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 electronic resource (128 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato Prophet model
Holt–Winters model
long-term forecasting
peak load
prophet model
multiple seasonality
time series
demand
load
forecast
DIMS
irregular
galvanizing
short-term electrical load forecasting
machine learning
deep learning
statistical analysis
parameters tuning
CNN
LSTM
short-term load forecast
Artificial Neural Network
deep neural network
recurrent neural network
attention
encoder decoder
online training
bidirectional long short-term memory
multi-layer stacked
neural network
short-term load forecasting
power system
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 electronic resource (270 p.)
Soggetto topico Research & information: general
Chemistry
Soggetto non controllato acute toxicity
Daphnia magna
electrochemical oxidation
emerging contaminants
methiocarb
glucocorticoids
TiO2-solar light degradation
freshwater pollution
photoproducts
matrix constituents
human health analysis
water contamination
water quality model
hydraulic model
WDS
water quality sensors
agrochemicals
photo-reactor
advanced oxidation processes
water pollution
point sources
antioxidant enzymes
pharmaceutical residues
pesticides
detergents
integrative indexes
groundwater pollution
pollution costs
economic environmental protection instruments
physico-chemical parameters
heavy metals
health risk index
Pearson coefficients
adsorption
dye
MWCNT
kinetics
isotherm models
thermodynamic
bioaccumulation
Lake Chapala
carp
catfish
PTWI
bioremediation
ecotoxicology
Gibbula umbilicalis
marine bacteria
tributyltin
TBT-tolerance
microalgae
Vibrio fisheri
benzenesulfonamide
benzothiazole
benzotriazole
biotoxicity tests
ferrous lactate
in situ chemical reduction
trichloroethylene (TCE)
green and sustainable remediation (GSR)
1,4-dioxane
dynamic
pollution
dumping site
transport phenomena
superfund
enhanced reductive dechlorination (ERD)
dense nonaqueous-phase liquid (DNAPL)
chlorinated hydrocarbons
tetrachloroethene (PCE)
trichloroethene (TCE)
dichloroethene (DCE)
anaerobic reduction
metagenomics
microplastics
largemouth bass
growth
intestinal morphology
intestinal microbiota
PCBs
monitoring
biomonitoring
statistical analysis
Lake Baikal
passive sampling
trace contaminants
seawater
chromatography-mass spectrometry
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 electronic resource (418 p.)
Soggetto topico Research & information: general
Biology, life sciences
Food & society
Soggetto non controllato green tea extract
food processing
tannase
ultrasound
antioxidant activity
liver injury
acclimatisation
antioxidant defences
chlorophyll fluorescence
in vitro culture
peroxidase
stevia plants
7S basic globulins
anti-inflammatory protein
antioxidant protein
cytokines
glutathione
iNOS
nitric oxide
oxidative stress
sweet lupins group
home-cooking
extra virgin olive oil
UPLC-ESI-QqQ-MS/MS
healthy cooking
Mediterranean diet
phenolic compounds
bioactive compounds
functional pasta
gluten-free pasta
bioaccessibility
bioavailability
whole grain
composite flour
legumes
food by-products
avocados (Persea americana Mill.)
low temperatures
plastochromanol-8
tocotrienols
tocopherols
tocochromanols
kombucha
tea
fermentation
antioxidant
flavonoids
polyphenols
ascorbic acid
chlorophyll and carotenoid content
biodiversity
Capsicum annuum L.
β-carotene
statistical analysis
rye bread
microencapsulation
phenolics
in vitro relative bioaccessibility
lipoxygenase
cyclooxygenase
acetylcholinesterase
biological activity
lycopene
antioxidants
cancer
diabetes
cardiovascular diseases
skin disorders
free radicals
spectrophotometer
limitations
chemical reactions
colorimetry
anthraquinone
free radical scavenging
inflammatory cytokines
apoptosis
Rumex crispus
skins
seeds
Vitis vinifera
cyclic voltammetry
anthocyanin metabolites
cardioprotection
hepatoprotection
nephroprotection
neuroprotection
antioxidant peptides
element of pork carcasses
spectrometric analysis
ascorbate
ascorbate-glutathione cycle
capsaicin
catalase
dihydrocapsaicin
NADP-dehydrogenases
superoxide dismutase
red cabbage
in vitro gastrointestinal digestion
acid-resistant capsule
UHPLC-Q-Orbitrap HRMS
apples
reducing and chelating capacity
HPLC-DAD-MS/MS
Dillenia indica
heme oxygenase 1 (HO-1)
nuclear factor erythroid 2-related factor 2 (Nrf2)
RAW 264.7 cells
apo-carotenals
bone
osteoclasts
NFκB
synergy
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
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
Autore Meng Xianyong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (384 p.)
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 3-03921-236-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model
Record Nr. UNINA-9910346839103321
Meng Xianyong  
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 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  
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 electronic resource (236 p.)
Soggetto non controllato de Sitter vacuum
Einstein-Aether theory of gravity
Supernovae
apparatus
normal galaxies
higher dimension gauged super-gravity black hole
dark energy model
cosmo-particle physics
instruments
Cosmic Microwave Background (CMB) temperature
Dark Energy
hyper-color
quantum tunneling phenomenon
spacetime symmetry
parametrizations
quantum gravity
dynamical Chern-Simons modified gravity
comparative planetology
properties of specific particles
particle physics
dark matter
Hawking radiation
memory
junction conditions
cosmology
composite dark matter
dosmological parameters
field theory
Dark Matter
cosmological model
extragalactic objects and systems
scalar-tensor gravity
fundamental astronomy
cosmoligical parameters
cosmological parameters
Baryon Acoustic Oscillation (BAO)
dark atoms
quantum optical systems
brans-dicke theory
dark energy models
loop quantum cosmology
dark energy
galactic rotation curve
astronomical and space-research instrumentation
null hypersurfaces
QCD
quantum optics
Hubble constant
and components common to several branches of physics and astronomy
statistical analysis
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
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (476 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato natural language processing
distributional semantics
machine learning
language model
word embeddings
machine translation
sentiment analysis
quality estimation
neural machine translation
pretrained language model
multilingual pre-trained language model
WMT
neural networks
recurrent neural networks
named entity recognition
multi-modal dataset
Wikimedia Commons
multi-modal language model
concreteness
curriculum learning
electronic health records
clinical text
relationship extraction
text classification
linguistic corpus
deception
linguistic cues
statistical analysis
discriminant function analysis
fake news detection
stance detection
social media
abstractive summarization
monolingual models
multilingual models
transformer models
transfer learning
discourse analysis
problem-solution pattern
automatic classification
machine learning classifiers
deep neural networks
question answering
machine reading comprehension
query expansion
information retrieval
multinomial naive bayes
relevance feedback
cause-effect relation
transitive closure
word co-occurrence
automatic hate speech detection
multisource feature extraction
Latin American Spanish language models
fine-grained named entity recognition
k-stacked feature fusion
dual-stacked output
unbalanced data problem
document representation
semantic analysis
conceptual modeling
universal representation
trend analysis
topic modeling
Bert
geospatial data technology and application
attention model
dual multi-head attention
inter-information relationship
question difficult estimation
named-entity recognition
BERT model
conditional random field
pre-trained model
fine-tuning
feature fusion
attention mechanism
task-oriented dialogue systems
Arabic
multi-lingual transformer model
mT5
language marker
mental disorder
deep learning
LIWC
spaCy
RobBERT
fastText
LIME
conversational AI
intent detection
slot filling
retrieval-based question answering
query generation
entity linking
knowledge graph
entity embedding
global model
DISC model
personality recognition
predictive model
text analysis
data privacy
federated learning
transformer
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595079903321
Montejo-Ráez Arturo  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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 electronic resource (460 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato Pd–10Au alloy
shear compression
texture
grain boundary sliding
TiAl alloys
dislocation
twinning
nanoindentation
ECCI
disconnection density
displacement discontinuity
crack nucleation
crack opening displacement
digital image correlation
Al-Cu-Li alloys
titanium aluminides
grain refinement
solidification
inoculation
TWIP steel
ECAP
deformation twinning
VPSC
simulation
industrial ingot
steel
dendritic grain size
titanium
strain hardening
anisotropy
strain heterogeneity
acoustic emission
statistical analysis
collective dislocation dynamics
Q&
P
transition carbide
precipitation
HEXRD
TEM
grain size
crystal plasticity
elasto-visco-plastic self-consistent (EVPSC) scheme
hardening
dislocation density
ironmaking
direct reduction
iron ore
DRI
shaft furnace
mathematical model
CO2 emissions
lattice structures
porous materials
3D surface maps
finite element
fatigue
plasticity
steel ladle
non-metallic inclusions
aggregation
lateral extrusion ratio
Finite Element (FE) simulation
analytical modelling
plastic flow machining
back pressure
polycrystalline β-Ti
elastic anisotropy
elastic/plastic incompatibilities
elasto-viscoplastic self-consistent scheme (EVPSC)
slip activity
microsegregation
gas tungsten arc welding
directional solidification
FM52 filler metal
ERNiCrFe-7
tip undercooling
rolling
asymmetric ratio
thickness reduction per pass
magnesium powders
HPT consolidation
microstructure
hardness
H-activation
high entropy alloy
crystallographic texture
groove rolling
elastic properties
non-Schmid effects
Taylor multiscale scheme
localized necking
bifurcation theory
excess nitrogen
clusters precipitation
Fe–Si and Fe–Cr nitrided alloys
APT and TEM characterization
metal matrix composite
in situ X-ray diffraction
internal stresses
phase transformation
nickel-based single crystal superalloy
lattice mismatch
in situ experiments
X-ray diffractometry
creep
dislocations
diffraction
fast Fourier transform (FFT)-based method
discrete green operator
voxelization artifacts
sub-voxel method
simulated diffraction peaks
scattered intensity
shape memory alloys
architected cellular material
numerical homogenization
multiscale finite element method
bainite
martensite
isothermal treatment
mechanical properties
austenite reconstruction
variant
magnesium
self consistent methods
modeling
heterogeneous kinetics
heat and mass transfer
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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Dinophysis toxins : distribution, fate in shellfish and impacts / / special issue editors, Beatriz Reguera, Juan Blanco
Dinophysis toxins : distribution, fate in shellfish and impacts / / special issue editors, Beatriz Reguera, Juan Blanco
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (376 p.)
Disciplina 579.8/7
Soggetto topico Dinoflagellates
Soggetto non controllato WitOMI analysis
DST accumulation
mussel
dinophysistoxins
depuration
human health
pectenotoxins (PTXs)
cryptophytes
Mesodinium
dinophysis
compartmentalization
resistance
Japanese scallop
surf clam
HAB monitoring
toxins
organic matter
OMI analysis
PTXs
time-series
Diarrhetic shellfish toxins
predator-prey preferences
immunity
okadaic acid
physical-biological interactions
defense
digestion
Dinophysis
harmful algal blooms
pectenotoxin
El Niño Southern Oscillation
lysate
suspended particulate matter (SPM)
D. caudata
mixotrophic cultures
Mytilus galloprovincialis
bivalves
diarrhetic shellfish poisoning
biotransformation
Mesodinium cf. rubrum
RNA-Seq
DST esterification
Mesodinium rubrum
statistical analysis
seasonality
mass culture conditions
D. acuminata-complex
Argopecten purpuratus
harmful algal bloom
pipis (Plebidonax deltoides)
DTX-2
Reloncaví Fjord
pectenotoxins
deep sequencing
climatic anomaly
Brazil
qPCR
high throughput sequencing
DSP
accumulation
LC/MS/MS
Protoceratium reticulatum
shellfish toxicity
transcriptomic response
New Zealand
blooms
trophic transfer
metabolism
bacterial community
kinetics
marine biotoxins
diarrhetic shellfish toxins
bivalve shellfish
Diarrhetic Shellfish Toxins (DST)
diarrhetic shellfish toxins (DST)
Scotland
Dinophysis acuminata
DSP toxins
toxin accumulation
Southern Annual Mode
Diarrheic Shellfish Poisoning
Dinophysis toxins
OA
marine toxins
toxin vectors
wild harvest
Dinophysis acuta
Sydney rock oyster (Saccostrea glomerata)
Argopecten irradians
dinophysistoxin
Port Underwood
aquaculture
niche partitioning
ISBN 3-03921-364-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Dinophysis Toxins
Record Nr. UNINA-9910367757503321
MDPI - Multidisciplinary Digital Publishing Institute, 2019
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 electronic resource (156 p.)
Soggetto topico Technology: general issues
Soggetto non controllato plasticity
machine learning
constitutive modeling
manifold learning
topological data analysis
GENERIC
soft living tissues
hyperelasticity
computational modeling
data-driven mechanics
TDA
Code2Vect
nonlinear regression
effective properties
microstructures
model calibration
sensitivity analysis
elasto-visco-plasticity
Gaussian process
high-throughput experimentation
additive manufacturing
Ti-Mn alloys
spherical indentation
statistical analysis
Gaussian process regression
nanoporous metals
open-pore foams
FE-beam model
data mining
mechanical properties
hardness
principal component analysis
structure-property relationship
microcompression
nanoindentation
analytical model
finite element model
artificial neural networks
model correction
feature engineering
physics based
data driven
laser shock peening
residual stresses
data-driven
multiscale
nonlinear
stochastics
neural networks
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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