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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm

Intelligent Data Analysis
Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout’s distributed machine-learning environment. The study taps into Apache Hadoop’s robust tools for data storage and processing, including HDFS and MapReduce, to ...
Al-Jumaili, Ahmed Hadi Ali   +5 more
openaire   +1 more source

Thermal CAD of power hybrid devices using light computer means

IEE Proceedings G (Electronic Circuits and Systems), 1988
A. Napieralski, F. Pompignac
openaire   +1 more source

Hybrid power mean of 2kth power inversion of L-functions, trigonometric sums and general quartic Gauss sums

International Journal of Mathematics Trends and Technology, 2020
Shikha Singh, Jagmohan Tanti
openaire   +1 more source

Wind Power Forecasting with a SGMD-K-means-TCN Hybrid Model

2024 4th International Conference on Energy, Power and Electrical Engineering (EPEE)
Yuzi Jiang   +3 more
openaire   +1 more source

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