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A model for identifying the feeder-transformer relationship in distribution grids using a data-driven machine-learning algorithm

Frontiers
With the increasing demand for reliable power supply and the widespread integration of distributed energy sources, the topology of distribution networks is...
3 months ago

A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data

Frontiers
The rapid development in data science and the increasing availability of building operational data have provided great opportunities for developing...
3 months ago

Efficient technique of microarray missing data imputation using clustering and weighted nearest neighbour

Nature
This paper proposed a technique considering the local similarity structure that predicts the missing data using clustering and top K nearest neighbor...
33 months ago

(PDF) The Effect of Using Data Pre-Processing by Imputations in Handling Missing Values

ResearchGate
PDF | The evolution of big data analytics through machine learning and artificial intelligence techniques has caused organizations in a wide...
27 months ago

MultiVI: deep generative model for the integration of multimodal data

Nature
Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of single cells offers a powerful way to study...
15 months ago

An Association Rules-Based Method for Outliers Cleaning of Measurement Data in the Distribution Network

Frontiers
For any power system, the reliability of measurement data is essential in operation, management and also in planning.
36 months ago