Data Mining in Smart Grids

Effective smart grid operation requires rapid decisions in a data-rich, but information-limited, environment. In this context, grid sensor data-streaming cannot provide the system operators with the necessary information to act on in the time frames necessary to minimize the impact of the disturbanc...

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Detalles Bibliográficos
Otros Autores:	Vaccaro, Alfredo (Editor)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Materias:	Information technology industries voltage regulation smart grid decentralized control architecture multi-agent systems t-SNE algorithm numerical weather prediction data preprocessing data visualization wind power generation partial discharge gas insulated switchgear case-based reasoning data matching variational autoencoder DSHW TBATS NN-AR time-series clustering decentral smart grid control (DSGC) interpretable and accurate DSGC-stability prediction data mining computational intelligence fuzzy rule-based classifiers multi-objective evolutionary optimization power systems resilience dynamic Bayesian network Markov model probabilistic modeling resilience models
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654959606719