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Data Mining in Smart Grids
Data Mining in Smart Grids
Autore Vaccaro Alfredo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (116 p.)
Soggetto topico Information technology industries
Soggetto non controllato voltage regulation
smart grid
decentralized control architecture
multi-agent systems
t-SNE algorithm
numerical weather prediction
data preprocessing
data visualization
wind power generation
partial discharge
gas insulated switchgear
case-based reasoning
data matching
variational autoencoder
DSHW
TBATS
NN-AR
time-series clustering
decentral smart grid control (DSGC)
interpretable and accurate DSGC-stability prediction
data mining
computational intelligence
fuzzy rule-based classifiers
multi-objective evolutionary optimization
power systems resilience
dynamic Bayesian network
Markov model
probabilistic modeling
resilience models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557722403321
Vaccaro Alfredo  
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 Ⅱ
Optimization Methods Applied to Power Systems Ⅱ
Autore Montoya Francisco G
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (350 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato electricity markets
economic dispatch
optimization
maximum capacity
online operation
power system
unit commitment
circuit breaker
network modeling
optimal power flow
wind and solar energies
gas insulated switchgear
partial discharges
electromagnetic wave propagation
UHF measurement
Security-Constraint Unit Commitment
sensitivity factors
user cuts
power line communication (PLC)
energy storage management
vehicle to grid (V2G)
smart grid
multi-objective optimization
population-based intelligent optimization algorithm
multi-behavior combination
algorithm framework
Economic load dispatch (ELD)
dragonfly algorithm
metaheuristic
particle swarm optimization
cold-thermal-electricity integrated energy system
multi-energy complementation
feasible interval of load rate
multi-objective
multi time scales
optimize operation
earthing
earthing system
optimisation
Ansys Maxwell
sensitivity analysis
touch voltage
non-linear programming
security-constrained OPF
preventive control
corrective control
post-contingency overflow
transmission line
thermal inertia
Three-phase optimal power flow
voltage regulation
distributed generation
distribution transformer taps
linear OPF problem
shift-factors
line outage distribution factors
security-constrained
corrective formulation
preventive formulation
klystron
IOT
resotrode
efficiency
microwave
bunching
computer simulation
global optimization
power quality disturbances
classification
feature selection
swarm optimization
support vector machine
genetic algorithm
K-NN algorithm
decision tree
S-transform
optimization techniques
hydroelectric
renewable energy
MCDM
fuzzy theory
FANP
TOPSIS
quadratically constrained quadratic programming
contingency constrained optimal power flow
isolated hybrid microgrid system (IHμGS)
solar tower (ST)
biodiesel power generator (BDPG)
frequency regulation
butterfly optimization technique (BOA)
microgrid energy management
electric vehicle
microgrid
energy efficiency
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557780003321
Montoya Francisco G  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui