Machine Learning for Data-Driven Indicators Applied to Power Distribution System

2020 ◽  
Author(s):  
Diana Estefanía Chérrez ◽  
Giulianno Bolognesi Archilli ◽  
Luiz Carlos Pereira da Silva
Keyword(s):  
Machine Learning ◽  
Power Distribution ◽  
Distribution System ◽  
Data Driven ◽  
Power Distribution System

scholarly journals Microgrid Infrastructure Compendium Analysis with a Model Creation Tool and Guideline Based on Machine Learning Techniques

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4509
Author(s):  
Miguel Carpintero-Rentería ◽  
David Santos-Martín ◽  
Mónica Chinchilla ◽  
David Rebollal
Keyword(s):  
Machine Learning ◽  
Electric Power ◽  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Machine Learning Techniques ◽  
Power Distribution System ◽  
Electric Power Distribution ◽  
Learning Techniques ◽  
Machine Learning Tool

A microgrid (MG) is an electric power distribution system that may provide a suitable ecosystem for distributed generation. Detailed information about the infrastructure layer in MG projects is available, so this study aimed to propose a compendium and a model creation guideline for MGs. The aggregated information based on 1618 MGs was summarized into different tables and analyzed based on various parameters. Two MG infrastructure model creation tools were developed. First, a simple guideline was created based on the information in the tables, and then a machine learning tool based on decision trees was proposed that generates more accurate MG models using two main inputs: latitude and the segment in which they operate.

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