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    Streaming big time series forecasting based on nearest similar patterns with application to energy consumption
    with P. Jiménez-Herrera, G. Asencio-Cortés, and A. Troncoso
    Logic Journal of the IGPL 31 (2): 255-270. 2023.
    This work presents a novel approach to forecast streaming big time series based on nearest similar patterns. This approach combines a clustering algorithm with a classifier and the nearest neighbours algorithm. It presents two separate stages: offline and online. The offline phase is for training and finding the best models for clustering, classification and the nearest neighbours algorithm. The online phase is to predict big time series in real time. In the offline phase, data are divided into …Read more