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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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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2021
Matèries:
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
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Accés en línia:ONIX_20210501_9783039433261_955
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