Study on power consumption load forecast based on K-means clustering and FCM–BP model
Sign Up to like & getrecommendations! Published in 2020 at "Energy Reports"
DOI: 10.1016/j.egyr.2020.11.148
Abstract: Abstract With the development of smart power distribution networks, the demand of smart grid user-side management is increasingly urgent. To improve the accuracy of short-term electric load forecasting for individual users, this study proposes a… read more here.
Keywords: load forecasting; power; model; based means ... See more keywords
Dynamic Coverage Control Based on K-Means
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3080205
Abstract: In this article, we propose the dynamic coverage control method based on K-means. In the traditional coverage control, Voronoi partition method is used to assign the coverage positions for intelligent units. However, the Voronoi partition… read more here.
Keywords: dynamic coverage; based means; coverage; control ... See more keywords
MultiKOC: Multi-One-Class Classifier Based K-Means Clustering
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DOI: 10.3390/a14050134
Abstract: In the computational biology community there are many biological cases that are considered as multi-one-class classification problems. Examples include the classification of multiple tumor types, protein fold recognition and the molecular classification of multiple cancer… read more here.
Keywords: class; multikoc multi; multi one; class classifier ... See more keywords
Multipath/NLOS Detection Based on K-Means Clustering for GNSS/INS Tightly Coupled System in Urban Areas
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13071128
Abstract: Due to the massive multipath effects and non-line-of-sight (NLOS) signal receptions, the accuracy and reliability of GNSS positioning solution can be severely degraded in a highly urbanized area, which has a negative impact on the… read more here.
Keywords: based means; gnss; gnss ins; nlos detection ... See more keywords