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Intelligent Control in Energy Systems / Anastasios Dounis
Intelligent Control in Energy Systems / Anastasios Dounis
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 9783039214167
3039214160
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367565403321
Dounis Anastasios  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning for Energy Systems
Machine Learning for Energy Systems
Autore Sidorov Denis N
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (272 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato abnormal defects
Adaptive Neuro-Fuzzy Inference System
artificial intelligence
blockchain
blockchain technology
cast-resin transformers
classification
classification and regression trees
clustering
component accident set
cyber-physical systems
data evolution mechanism
decision tree
energy internet
energy management system
energy router
energy storage
energy systems
ensemble empirical mode decomposition
extreme learning machine
fatigue
forecasting
harmonic impedance
harmonic impedance identification
harmonic parameter
harmonic responsibility
hierarchical clustering
high permeability renewable energy
hybrid AC/DC power system
hybrid interval forecasting
industrial mathematics
information security
insulator fault forecast
integrated energy system
intelligent control
Interfacial tension
inverse problems
linear regression model
linearization
load leveling
machine learning
maintenance
monitoring data without phase angle
MOPSO algorithm
offshore wind farm
optimization
parameter estimation
partial discharge
pattern recognition
photovoltaic output power forecasting
power control
power quality
QoS index of energy flow
relevance vector machine
renewable energy source
risk assessment
rule extraction
sample entropy
scheduling optimization
smart microgrid
stochastic optimization
time series forecasting
traction network
transformer oil parameters
vacuum tank degasser
Volterra equations
Volterra models
vulnerability
wavelet packets
wind power: wind speed: T-S fuzzy model: forecasting
wind turbine
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557678803321
Sidorov Denis N  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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 MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (382 p.)
Soggetto topico History of engineering and technology
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
Baños Navarro Raúl  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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 MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (306 p.)
Soggetto topico History of engineering and technology
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
Baños Navarro Raúl  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui