Improving data partition schemes in Smart Grids via clustering data streams

Andreu Sancho-Asensio, Joan Navarro, Itziar Arrieta-Salinas, José Enrique Armendáriz-Iñigo, Virginia Jiménez-Ruano, Agustín Zaballos, Elisabet Golobardes

Abstract: Highlights•An online unsupervised LCS algorithm suitable for clustering problems is proposed.•The problem of partitioning the data storage layer on a Smart Grid is explored.•Data partitioning using online clustering boosts the storage layer scalability.•The competence of this approach is assessed using synthetic and real data streams.