What is it about?
This paper reviews how smart electricity meters and artificial intelligence techniques can be used to identify the operation of household appliances from a single energy measurement. These methods can help improve power quality, support smarter electrical grids, reduce energy waste, and even assist elderly people to live more independently and safely at home.
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Why is it important?
This work is unique because it connects non-intrusive load monitoring (NILM) with practical challenges beyond energy savings, including power quality assessment, fault management in smart grids, and assisted independent living for elderly people. It is also timely because many developing countries are only beginning the transition toward smart grids, creating the opportunity to design low-cost and scalable solutions adapted to their specific electrical and social realities.
Perspectives
From my personal perspective, this publication was motivated by the need to promote and develop research on NILM applications in Argentina and Latin America. I believe the region has a strong potential for innovation in smart grids and energy monitoring, especially now that machine learning tools are becoming more accessible. Building a broad survey of possible NILM applications is an important first step toward developing solutions adapted to the technical and social realities of our countries.
Dr Patricio G. Donato
Consejo Nacional de Investigaciones Cientificas y Tecnologicas
Read the Original
This page is a summary of: Review of NILM applications in smart grids: power quality assessment and assisted independent living, October 2020, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.23919/aadeca49780.2020.9301641.
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