May 10, 2023 · We propose a new pattern sequence-based algorithm that uses a genetic algorithm to optimize the number of clusters alongside all other hyperparameters of the ...
May 4, 2023 · Pattern sequence-based models are a type of forecasting algorithm that utilizes clustering and other techniques to produce easily ...
May 10, 2023 · Secondly, we propose a new pattern sequencebased algorithm that uses a genetic algorithm to optimize the number of clusters alongside all other ...
Pattern sequence-based models are a type of forecasting algorithm that utilizes clustering and other techniques to produce easily interpretable predictions ...
TL;DR: In this article , a genetic algorithm was used to optimize the number of clusters alongside all other hyperparameters of the forecasting method, instead ...
Apr 21, 2023 · Code for "An improved pattern sequence-based energy load forecast al-gorithm based on Self-Organizing Map and Artificial Neural Networks".
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An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks. Criado-Ramón, D. Ruiz, L.G.B. ...
In this paper, we propose a cluster-label-sequence-based direct time series forecasting method based on clustering and next symbol prediction. The main ...
... Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks. Big Data Cogn. Comput. 2023, 7 ...
This work proposes a novel algorithm to forecast multivariate big data time series. This new general-purpose approach consists first of a previous pattern ...