Open AccessENERMONGRID: Intelligent Energy Monitoring, Visualization and Fraud Detection for Smart Grids
Author(s) -
Miguel Lagares Lemos,
Yuliana Pérez Gallardo,
Ángel Lagares Lemos,
Juan Miguel Gómez Berbís
Publication year - 2020
Publication title -
revista perspectiva empresarial
Language(s) - English
Resource type - Journals
eISSN - 2389-8194
pISSN - 2389-8186
DOI - 10.16967/23898186.669
Subject(s) - software deployment , smart grid , metering mode , visualization , computer science , electricity , energy consumption , grid , profiling (computer programming) , energy (signal processing) , real time computing , computer security , embedded system , data mining , engineering , software engineering , electrical engineering , operating system , mechanical engineering , statistics , geometry , mathematics
The current obsolete electricity network is being transformed into net an advanced, digitalized and more efficient one known as Smart Grid. The deployment of an Automatic Metering Infrastructure will make an unseen quantity of rich information available in near real-time, processed to make decisions for the optimal energy production, generation, distribution, and consumption. This document presents an analysis of the ENERMONGRID tool, a tool used for intelligent energy monitoring, data visualization and fraud detection in electric networks.