Machine Learning for Energy Systems

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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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
History of engineering and technology
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
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