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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Detalles Bibliográficos
Otros Autores:	Kodogiannis, Vassilis S. (auth)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Materias:	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
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009433811606719