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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書誌詳細
フォーマット:	Online
言語:	英語
出版事項:	MDPI - Multidisciplinary Digital Publishing Institute 2021
主題:	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
オンライン･アクセス:	ONIX_20210501_9783039433261_955
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Data Mining in Smart Grids

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