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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
Autore Simões Marcelo Godoy
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (202 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato droop curve
frequency regulation
fuzzy logic
the rate of change of frequency
reserve power
smart grid
energy Internet
convolutional neural network
decision optimization
deep reinforcement learning
electric load forecasting
non-dominated sorting genetic algorithm II
multi-layer perceptron
adaptive neuro-fuzzy inference system
meta-heuristic algorithms
automatic generation control
fuzzy neural network control
thermostatically controlled loads
back propagation algorithm
particle swarm optimization
load disaggregation
artificial intelligence
cognitive meters
machine learning
state machine
NILM
non-technical losses
semi-supervised learning
knowledge embed
deep learning
distribution network equipment
condition assessment
multi information source
fuzzy iteration
current balancing algorithm
level-shifted SPWM
medium-voltage applications
multilevel current source inverter
motor drives
phase-shifted carrier SPWM
STATCOM
electricity forecasting
CNN–LSTM
very short-term forecasting (VSTF)
short-term forecasting (STF)
medium-term forecasting (MTF)
long-term forecasting (LTF)
asynchronous motor
linear active disturbance rejection control
error differentiation
vector control
renewable energy
solar power plant
Data Envelopment Analysis (DEA)
Fuzzy Analytical Network Process (FANP)
Fuzzy Theory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557103703321
Simões Marcelo Godoy  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
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
Opac: Controlla la disponibilità qui
Energy Data Analytics for Smart Meter Data
Energy Data Analytics for Smart Meter Data
Autore Reinhardt Andreas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (346 p.)
Soggetto topico Technology: general issues
Soggetto non controllato smart grid
nontechnical losses
electricity theft detection
synthetic minority oversampling technique
K-means cluster
random forest
smart grids
smart energy system
smart meter
GDPR
data privacy
ethics
multi-label learning
Non-intrusive Load Monitoring
appliance recognition
fryze power theory
V-I trajectory
Convolutional Neural Network
distance similarity matrix
activation current
electric vehicle
synthetic data
exponential distribution
Poisson distribution
Gaussian mixture models
mathematical modeling
machine learning
simulation
Non-Intrusive Load Monitoring (NILM)
NILM datasets
power signature
electric load simulation
data-driven approaches
smart meters
text convolutional neural networks (TextCNN)
time-series classification
data annotation
non-intrusive load monitoring
semi-automatic labeling
appliance load signatures
ambient influences
device classification accuracy
NILM
signature
load disaggregation
transients
pulse generator
smart metering
smart power grids
power consumption data
energy data processing
user-centric applications of energy data
convolutional neural network
energy consumption
energy data analytics
energy disaggregation
real-time
smart meter data
transient load signature
attention mechanism
deep neural network
electrical energy
load scheduling
satisfaction
Shapley Value
solar photovoltaics
review
deep learning
deep neural networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557645803321
Reinhardt Andreas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microgrids : The Path to Sustainability
Microgrids : The Path to Sustainability
Autore Anvari-Moghaddam Amjad
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (280 p.)
Soggetto topico Technology: general issues
Soggetto non controllato microgrid
distribution network operator
double externalities
subsidy
PV system
PI controller
fuzzy control
MPPT
tracking speed
error
Micro Grid
VSG
power sharing
inertia support
energy support
small signal stability
day-ahead operational scheduling
reconfigurable microgrid
DRNN Bi-LSTM
aggregated load forecasting
bulk photovoltaic power generation forecasting
solar potential assessment
resource mapping
geographic information systems (GIS)
site selection
Iran
earthquake
power distribution network
resilience improvement planning
water distribution network
load disaggregation
non-intrusive load monitoring (NILM)
dimensionality reduction
principal component analysis (PCA)
smart home
solar renewable
thermal load
stochastic operation
energy storage
sustainability
desalination
renewable energy
water–energy-nexus
photovoltaic grid-connected system
power fluctuation
DC bus voltage stabilization
prescribed performance
command-filtered adaptive backstepping control
centralized control architecture
DC microgrid
distributed control architecture
electricity price constraint
hybrid control architecture
power flow control strategy
data pre-processing
electricity theft
imbalance data
parameter tuning
smart grid
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Microgrids
Record Nr. UNINA-9910557464603321
Anvari-Moghaddam Amjad  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Situation Awareness for Smart Distribution Systems
Situation Awareness for Smart Distribution Systems
Autore Ge Leijiao
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (214 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato community integrated energy system
energy management
user dominated demand side response
conditional value-at-risk
electric heating
load forecasting
thermal comfort
attention mechanism
LSTM neural network
smart distribution network
situation awareness
high-quality operation and maintenance
critical technology
comprehensive framework
distributionally robust optimization (DRO)
integrated energy system (IES)
joint chance constraints
linear decision rules (LDRs)
Wasserstein distance
load disaggregation
denoising auto-encoder
REDD dataset
TraceBase dataset
machine learning
secondary equipment
CNN
short text classification
electric vehicle
short-term load forecasting
convolutional neural network
temporal convolutional network
climate factors
correlation analysis
sustainable wind-PV-hydrogen-storage microgrid
power-to-hydrogen
receding horizon optimization
storage
photovoltaic (PV) system
DC series arc fault
power spectrum estimation
attentional mechanism
lightweight convolutional neural network
capacity configuration
wind-photovoltaic-thermal power system
carbon emission
multi-objective optimization
inertia security region
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580204303321
Ge Leijiao  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui