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Applications of Computational Intelligence to Power Systems

Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation...

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Enregistré dans:
Auteur principal: Kodogiannis, Vassilis S.
Format: Online
Langue:anglais
Publié: MDPI - Multidisciplinary Digital Publishing Institute 2021
Sujets:
TA1-2040
T1-995
localization
reactive power optimization
model predictive control
CNN
long short term memory (LSTM)
meter allocation
particle update mode
combined economic emission/environmental dispatch
glass insulator
emission dispatch
genetic algorithm
grid observability
defect detection
feature extraction
parameter estimation
incipient cable failure
active distribution system
boiler load constraints
multivariate time series
particle swarm optimization
inertia weight
VMD
NOx emissions constraints
spatial features
penalty factor approach
self-shattering
differential evolution algorithm
short term load forecasting (STLF)
genetic algorithm (GA)
economic load dispatch
least square support vector machine
Combustion efficiency
electricity load forecasting
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accès en ligne:38846
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