Data Mining in Smart Grids

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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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Information technology industries
case-based reasoning
computational intelligence
data matching
data mining
data preprocessing
data visualization
decentral smart grid control (DSGC)
decentralized control architecture
DSHW
dynamic Bayesian network
fuzzy rule-based classifiers
gas insulated switchgear
interpretable and accurate DSGC-stability prediction
Markov model
multi-agent systems
multi-objective evolutionary optimization
NN-AR
numerical weather prediction
partial discharge
power systems resilience
probabilistic modeling
resilience models
smart grid
t-SNE algorithm
TBATS
time-series clustering
variational autoencoder
voltage regulation
wind power generation
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Open Access: DOAB: description of the publication
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