Data Mining in Smart Grids

• Other Authors: Vaccaro, Alfredo (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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...