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Machine Learning for Energy Systems

This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
vacuum tank degasser
rule extraction
extreme learning machine
classification and regression trees
wind power: wind speed: T–S fuzzy model: forecasting
linearization
machine learning
photovoltaic output power forecasting
hybrid interval forecasting
relevance vector machine
sample entropy
ensemble empirical mode decomposition
high permeability renewable energy
blockchain technology
energy router
QoS index of energy flow
MOPSO algorithm
scheduling optimization
Adaptive Neuro-Fuzzy Inference System
insulator fault forecast
wavelet packets
time series forecasting
power quality
harmonic parameter
harmonic responsibility
monitoring data without phase angle
parameter estimation
blockchain
energy internet
information security
forecasting
clustering
energy systems
classification
integrated energy system
risk assessment
component accident set
vulnerability
hybrid AC/DC power system
stochastic optimization
renewable energy source
Volterra models
wind turbine
maintenance
fatigue
power control
offshore wind farm
Interfacial tension
transformer oil parameters
harmonic impedance
traction network
harmonic impedance identification
linear regression model
data evolution mechanism
cast-resin transformers
abnormal defects
partial discharge
pattern recognition
hierarchical clustering
decision tree
industrial mathematics
inverse problems
intelligent control
artificial intelligence
energy management system
smart microgrid
optimization
Volterra equations
energy storage
load leveling
cyber-physical systems
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online Access:ONIX_20210501_9783039433827_1147
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