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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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Emerging Technologies for the Energy Systems of the Future
Emerging Technologies for the Energy Systems of the Future
Autore Anvari-Moghaddam Amjad
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (212 p.)
Soggetto topico Technology: general issues
Soggetto non controllato hybrid systems
photovoltaic
wind energy
energy economics
RES investments
Zimbabwe
Africa and energy security
electricity price forecasting (EPF)
wind power forecasting (WPF)
spot market
balancing market
ARMAX
NARX-ANN
100% renewable power system
secondary voltage control
tertiary voltage control
grid code
wind farms
photovoltaic parks
energy transition
renewable energy sources
island power systems
hybrid power plants
wind turbines
battery energy storage systems
marine microgrid
tidal generation system
black widow optimization
supplementary control
fractional integrator
non-linear fractional integrator
100% renewable power generation
nexus
food
energy
water
greenhouse gas emission
microgrid
ancillary services
energy storage
power management
solar hot waters
thermosyphon
thermal performance
Morocco
economic outcomes
CO2 environmental assessment
solar system
domestic hot water production
solar water heaters
individual and collective solar water heater systems
dynamic simulation
TRNbuild
TRNSYSstudio
energy management
residential and commercial loads
short-term load forecasting
deep learning
bidirectional long short-term memory (Bi-LSTM)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557361303321
Anvari-Moghaddam Amjad  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Future Smart Grid Systems
Future Smart Grid Systems
Autore Short Michael
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (241 p.)
Soggetto topico Research & information: general
Technology: general issues
Soggetto non controllato industry 4.0
digitalization
demand response
HVAC control
dynamic programming
nonlinear optimization
energy storage
regulatory barriers
storage policy
market regulations
SWOT analysis
deep neural networks
short-term load forecasting
renewable energy
sustainability
island communities
demand flexibility
energy management
optimization
hydrogen economy
cost analysis
life cycle costing
methane reforming
water electrolysis
centralised hydrogen production
smart grids (intelligent networks)
phasor machine learning
binary logistic regression
wireless network
Sensors
decentralized
community energy management
lithium-ion battery
capacity prediction
state of health estimation
time–frequency image analysis
continuous wavelet transform (CWT)
two-stage optimization
risk-based hybrid demand response
uncertainties
conditional value at risk
improved multi-layer artificial bee colony algorithm
interconnected power system
cybersecurity
FPID controller
automatic intrusion mitigation unit
Virtual Oscillator Control
parameter tuning
voltage-mode inverter
microgrid
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557604803321
Short Michael  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Power Electronics Applications in Renewable Energy Systems
Power Electronics Applications in Renewable Energy Systems
Autore Jang Gilsoo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (258 p.)
Soggetto topico Technology: general issues
Soggetto non controllato isolated microgrid
renewable energy source
diesel generator
battery energy storage system
hierarchical control
power systems
floquet multiplier
poincaré map
time series data
DFIG
renewable energy
battery energy storage system (BESS)
control strategy
modular multilevel converter
state-of-charge (SOC) equalization
preliminary design
optimization
rotor loss
guide vane outlet flow angle
radial turbine
CAES
deadbeat control
discrete space vector modulation
computation efficiency
model predictive control
grid connected system
three-level system
T-type inverter
PV diagnosis
ESS application
DC power flow
DC system dynamics
hybrid generation system
phase-locked loop (PLL)
synchronization
hybrid filter
low-cost hybrid converter
bi-directional converter
parallel configuration of converters
converter for multi-MW wind generator
offshore wind energy converter applications
AC-DC matrix converter
virtual space vector
DC ripple reduction
microgeneration
solar energy
photovoltaic
crowd funding
solid-state circuit breaker
microgrid protection
DC protection
SSCB
short-term load forecasting
two-stage forecasting model
combined cooling heating and power
energy operation plan
economic analysis
calculation load
iterative methods
fault restoration
distribution generation
temporary fault ride-through
voltage control
inrush current control
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674051303321
Jang Gilsoo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Short-Term Load Forecasting 2019
Short-Term Load Forecasting 2019
Autore Gabaldón Antonio
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (324 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato short-term load forecasting
demand-side management
pattern similarity
hierarchical short-term load forecasting
feature selection
weather station selection
load forecasting
special days
regressive models
electric load forecasting
data preprocessing technique
multiobjective optimization algorithm
combined model
Nordic electricity market
electricity demand
component estimation method
univariate and multivariate time series analysis
modeling and forecasting
deep learning
wavenet
long short-term memory
demand response
hybrid energy system
data augmentation
convolution neural network
residential load forecasting
forecasting
time series
cubic splines
real-time electricity load
seasonal patterns
Load forecasting
VSTLF
bus load forecasting
DBN
PSR
distributed energy resources
prosumers
building electric energy consumption forecasting
cold-start problem
transfer learning
multivariate random forests
random forest
electricity consumption
lasso
Tikhonov regularization
load metering
preliminary load
short term load forecasting
performance criteria
power systems
cost analysis
day ahead
feature extraction
deep residual neural network
multiple sources
electricity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557494303321
Gabaldón Antonio  
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