Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-019-00550-3
Abstract: This paper presents a comparison of the impact of various unsupervised ensemble learning methods on electricity load forecasting. The electricity load from consumers is simply aggregated or optimally clustered to more predictable groups by cluster… read more here.
Keywords: time series; electricity; learning methods; unsupervised ensemble ... See more keywords
An Unsupervised Ensemble Clustering Approach for the Analysis of Student Behavioral Patterns
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DOI: 10.1109/access.2021.3049157
Abstract: Specialized services and management must understand students’ behavioral patterns in a timely and accurate manner. Based on these patterns, we can make targeted rules, especially for unexpected patterns. To perform this type of work, a… read more here.
Keywords: student behavioral; analysis; ensemble clustering; student ... See more keywords
340-P: Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes Using Combined Supervised and Unsupervised Ensemble Learning
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DOI: 10.2337/db21-340-p
Abstract: The Aim: To assess the efficacy of combined supervised and unsupervised ensemble machine learning based on continuous glucose monitoring (CGM) data for short-term prediction of nocturnal hypoglycemia (NH) in hospitalized patients with type 1 diabetes… read more here.
Keywords: combined supervised; unsupervised ensemble; nocturnal hypoglycemia; hospitalized patients ... See more keywords