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Alternative Sources of Energy Modeling, Automation, Optimal Planning and Operation
Alternative Sources of Energy Modeling, Automation, Optimal Planning and Operation
Autore Stavrakakis George S
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (250 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato entrained flow coal gasification
ash melting point
operation temperature
Markov process
stochastic optimization model
genetic algorithm
gallium nitride
magnetic-free converters
module-level converters
parallel architecture
partial shading
photovoltaic systems
switched capacitor converters
hybrid energy storage system
supercapacitor
lead–acid battery
energy management system
battery degradation
depth of discharge
techno-economic analysis
hybrid power station
green island
energy storage
remote community
reserves
k-means
probabilistic dimensioning
dynamic dimensioning
balancing
wave energy converters
deep neural networks
renewable energy sources
spatial planning
sentinel satellite imagery
permanent magnet synchronous machines
generators
fault detection
demagnetization
artificial intelligence
data mining
machine learning
advanced deep learning
windspeed forecasting
solar irradiation forecasting
increased RES penetration
smart grid
scalability
replicability
FLEXITRANSTORE
Angolan economy
diversification
strategic alternative
biofuels
ISBN 3-0365-5712-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637792103321
Stavrakakis George S  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applications of Computational Intelligence to Power Systems
Applications of Computational Intelligence to Power Systems
Autore Kodogiannis Vassilis S
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (116 p.)
Soggetto non controllato localization
reactive power optimization
model predictive control
CNN
long short term memory (LSTM)
meter allocation
particle update mode
combined economic emission/environmental dispatch
glass insulator
emission dispatch
genetic algorithm
grid observability
defect detection
feature extraction
parameter estimation
incipient cable failure
active distribution system
boiler load constraints
multivariate time series
particle swarm optimization
inertia weight
VMD
NOx emissions constraints
spatial features
penalty factor approach
self-shattering
differential evolution algorithm
short term load forecasting (STLF)
genetic algorithm (GA)
economic load dispatch
least square support vector machine
Combustion efficiency
electricity load forecasting
ISBN 3-03921-761-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367747103321
Kodogiannis Vassilis S  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applications of Mathematical Models in Engineering
Applications of Mathematical Models in Engineering
Autore Dulf Eva H
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (418 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato fractional order IMC
first order plus dead-time processes
event-based implementation
numerical simulations
comparative closed loop results
nonlinear wave phenomen
RBF
local RBF-FD
stability
unmanned aerial vehicle (UAV)
quaternion-based estimator
low-cost design
automatic optical inspection
kinetic theory
parallel robots
robust control
sliding mode control
basinI
basinII
mean pressure head
pressure head with different probabilities of occurrence
standard deviation of the pressure fluctuations
statistical modeling
USBR
desalination
humidification-dehumidification
waste heat recovery
mathematical model
yearly analysis
thermo-economics
multi-objective optimization
cruise altitude
fuel consumption
time to climb
Hermite-Simpson method
trajectory optimization
terminal residual analysis (TRA)
m-σ terminal residual analysis (m-σ TRA)
power transformer
stray losses
analytical methods
finite element method
gridshell structures
shape ratio
length ratio
regularity
particle swarm optimization
genetic algorithm
hybrid nanofluid
dual solutions
mixed convection
stagnation point
radiation
stability analysis
machine learning
eXterme Gradient Boosting
Computation Fluid Dynamics
blade vibration
unsteady aerodynamic model
active disturbance rejection control (ADRC)
multiobjective optimization
time delay systems
tuning rules
soft robotics
fractional calculus
CACSD toolbox
operating point linearization
automatic uncertainty bound computation
Model-in-the-Loop simulation
hybrid simulation
ℋ∞ control
μ synthesis
DC-to-DC power converters
buck
boost
SEPIC
rainfall-runoff model
curve number
inferential statistics
3D runoff difference model
model calibration
PAT model
modified affinity laws
hydraulic simulation tool
μ-synthesis
fractional-order control
swarm optimization
artificial bee colony optimization
CNC machine
mixed sensitivity
D–K iteration
Linear Matrix Inequality
biotechnology
fermentation process
batch bioreactors
modeling
control system design and synthesis
linear control
adaptive control
model reference adaptive control
control system realization
mixed-sensitivity
FO-PID
twin rotor aerodynamic system
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566464603321
Dulf Eva H  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
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
Lytras Miltiadis  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Automatic Control and Routing of Marine Vessels
Automatic Control and Routing of Marine Vessels
Autore Veremey Evgeny
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (184 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato collision avoidance
ship domain
fuzzy inference
collision risk
early warning system
marine vessel
tracking controller
stability
functional
optimal damping
fin stabilizer
ship turning
heel/roll reduction
L2-gain
uncertainty
non-linearity
ship motion control
path-following
guidance algorithm
nonlinear feedback
AIS Data
trajectory prediction
waterway transportation
neural networks
autonomous navigation
multi-joint autonomous underwater vehicle (MJ-AUV)
3-dimensional modeling
LQR
LESO
multicriteria route planning
genetic algorithm
particle swarm optimization
oceanic meteorological routing
cooperative game theory
supply chain management
supply disruption
unmanned surface vehicle
Guidance, Navigation and Control
course keeping
adaptive sliding mode
unmanned surface vehicle (USV)
system identification
traditional neural network
physics-informed neural network
zigzag test
ISBN 3-0365-5920-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639998203321
Veremey Evgeny  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Battery Systems and Energy Storage beyond 2020
Battery Systems and Energy Storage beyond 2020
Autore Birke Kai Peter
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (338 p.)
Soggetto topico Research & information: general
Soggetto non controllato battery energy storage
renewable energy
distribution network
genetic algorithm
particle swarm optimization
electrolyte
additive
interface
pseudocapacitance
intercalation
energy storage
secondary battery
sodium-ion
lithium-ion battery
traction battery
waterjet-based recycling
direct recycling
life cycle assessment
global warming potential
electro-thermal model
smart cell
intelligent battery
neural network
temperature prediction
DRT by time domain data
pulse evaluation
relaxation voltage
online diagnosis
degradation mechanisms
EIS
lead batteries
safety concept
safety battery
battery monitoring
electronic battery sensor
failure modes
failure distribution
failure rates
field battery investigation
safe supply
power supply system
zinc ion batteries
stationary energy storage
polymer binder
solvent
doctor blade coating
manganese dioxide
mixing ratio
electrochemical impedance spectroscopy
SEM+EDX
electrode fabrication
lithium ion battery
AC current injection
bi-directional control
charger
lithium-ion battery cell
volumetric expansion
mechanical degradation
state of charge dependency
cell thickness
mechanical aging
non-uniform volume change
solar photovoltaic energy
redox flow battery
residential load
renewable energy integration
battery sizing
battery efficiency
lithium battery
temperature dependency
ether based electrolyte
insitu deposited lithium-metal electrode
Coulombic efficiency
lithium deposition morphology
Li-ion battery
thermal runaway
model
post-mortem analysis
ecofriendly electrolyte for lithium-ion batteries
increased thermal stability of electrolytes
enhanced electrolyte safety based on high flash point
tributylacetylcitrate
acetyltributylcitrate
electric vehicle battery
disassembly
disassembly planner design
disassembly strategy optimization
battery management system
state monitoring
state-of-charge
digital twin
battery model
Doyle-Fuller-Newman model
equivalent circuit model
parameter estimation
lithium-ion batteries
temperature estimation
sensorless temperature measurement
artificial intelligence
artificial neural network
lithium-ion cells
battery thermal management systems
CFD simulations
liquid cooling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557610903321
Birke Kai Peter  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Challenges and Opportunities for the Renewable Energy Economy
Challenges and Opportunities for the Renewable Energy Economy
Autore Reboredo Juan Carlos
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (166 p.)
Soggetto topico Research & information: general
Soggetto non controllato day-ahead market
balancing market
gate closure
forecast uncertainty
wind power forecast
agent-based simulation
the MATREM system
drying
solar energy
sustainable processing
energy efficiency
global heat production
energy market
energy conversion
electricity
carbon trading
palm oil producer
renewable energy
economy
sustainable development
clean development mechanism
Sustainable Development Goals (SDGs)
Malaysia
energy planning
Modern Portfolio Theory (MPT)
Capital Asset Pricing Model (CAPM)
low-carbon economy
renewable energy deployment
environmental efficiency
pumped hydro storage
wind farm
simulated annealing
genetic algorithm
pattern search
Matlab optimization toolbox
economic and environment feasibility
renewables
low carbon
interdependence
copulas
conditional quantiles
liquefied natural gas
cold energy
regasification
chilled water
techno economic
coevolution
the fuel ethanol industry
history-friendly model
entry regulation
ethanol mandate
production subsidy
R&
D subsidy
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557648003321
Reboredo Juan Carlos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
Autore Vitelli Massimo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (280 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato sensor network
data fusion
complex network analysis
fault prognosis
photovoltaic plants
ANFIS
statistical method
gradient descent
photovoltaic system
sustainable development
PV power prediction
artificial neural network
renewable energy
environmental parameters
multiple regression model
moth-flame optimization
parameter extraction
photovoltaic model
double flames generation (DFG) strategy
Solar cell parameters
single-diode model
two-diode model
COA
photovoltaic systems
maximum power point tracking
single stage grid connected systems
solar concentrator
spectral beam splitting
diffractive optical element
diffractive grating
PVs power output forecasting
adaptive neuro-fuzzy inference systems
particle swarm optimization-artificial neural networks
solar irradiation
photovoltaic power prediction
publicly available weather reports
machine learning
long short-term memory
integrated energy systems
smart energy management
PV fleet
clustering-based PV fault detection
unsupervised learning
self-imputation
implicit model solution
photovoltaic array
series–parallel
global optimization
partial shading
deterministic optimization algorithm
metaheuristic optimization algorithm
genetic algorithm
solar cell optimization
finite difference time domain
optical modelling
thermal image
photovoltaic module
hot spot
image processing
deterioration
linear approximation
MPPT algorithm
duty cycle
global horizontal irradiance
mathematical modeling
feed-forward neural networks
recurrent neural networks
LSTM cell
performances evaluation
clear sky irradiance
persistent predictor
photovoltaics
artificial neural networks
national power system
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557297703321
Vitelli Massimo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence in Photovoltaic Systems
Computational Intelligence in Photovoltaic Systems
Autore Ogliari Emanuele
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 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 3-03921-099-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674025103321
Ogliari Emanuele  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare
Autore Syed Abdul Shabbir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato eHealth
wearable
monitoring
services
integration
IoT
Telemedicine
wearable sensors
multivariate analysis
longitudinal study
functional decline
exercise intervention
accidental falls
fall detection
real-world
signal analysis
performance measures
non-wearable sensors
accelerometers
cameras
machine learning
smart textiles
healthcare
talking detection
activity recognition and monitoring
patient health and state monitoring
wearable sensing
orientation-invariant sensing
motion sensors
accelerometer
gyroscope
magnetometer
pattern classification
artificial intelligence
supervised machine learning
predictive analytics
hemodialysis
non-contact sensor
heart rate
respiration rate
heart rate variability
time-domain features
frequency-domain features
principal component analysis
behaviour analysis
classifier efficiency
personal risk detection
one-class classification
actigraphy
encoding
data compression
denoising
edge computing
signal processing
wearables
activity monitoring
citizen science
cluster analysis
physical activity
sedentary behavior
walking
energy expenditure
wearable device
impedance pneumography
neural network
mechanocardiogram (MCG)
smart clothes
heart failure (HF)
left ventricular ejection fraction (LVEF)
technology acceptance model (TAM)
physical activity classification
free-living
GENEactiv accelerometer
Gaussian mixture model
hidden Markov model
wavelets
skill assessment
deep learning
LSTM
state space model
probabilistic inference
latent features
human activity recognition
MIMU
genetic algorithm
feature selection
classifier optimization
bispectrum
entropy
feature extraction
heat stroke
filtering algorithm
physiological parameters
exercise experiment
biomedical signal processing
wearable biomedical sensors
wireless sensor network
respiratory monitoring
optoelectronic plethysmography
biofeedback
biomedical technology
exercise therapy
orthopedics
mobile health
qualitative
human factors
inertial measurement unit
disease prevention
occupational healthcare
P-Ergonomics
precision ergonomics
musculoskeletal disorders
wellbeing at work
electrocardiogram
conductive gels
noncontact electrode
myocardial ischemia
pacemaker
ventricular premature contraction
upper extremity
motion
action research arm test
activities of daily living
IoT wearable monitor
health
posture analysis
spinal posture
wearable sensor
embedded system
recurrent neural networks
physical workload
wearable systems for healthcare
machine learning for real-time applications
actigraph
body worn sensors
clothing sensors
cross correlation analysis
healthcare movement sensing
wearable devices
calibration
inertial measurement units
human movement
physical activity type
real-life
GPS
GIS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288603321
Syed Abdul Shabbir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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