Applications of Computational Intelligence to Power Systems

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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Bibliographic Details
Main Author: Kodogiannis, Vassilis S. (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
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
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