Comprehensible energy monitoring system for application in smart cities

Author(s)

Felipe Marques Pires

• Document type: Doctoral Thesis
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
• Defense date: 2020-10-28

Examining board members

Leonardo de Souza Mendes; Dalton Soares Arantes; Gean Davis Breda; André Marcelo Panhan; Rodolfo Miranda de Barros

• Advisor: Leonardo de Souza Mendes

Abstract

By the occasion of the challenges that we must face in the forthcoming years, such as population growth in urban areas and consequently the concern with the future of energy resources, sustainable development depends more and more on efficient management that contemplates the three dimensions challenges: economic, social and environmental. In favor of this, the public and private sectors invest in technologies and other resources for the implementation of the concept of smart city, which may contribute to the development of various solutions for the benefit of society. Although the concepts of smart city and energy efficiency are objects of study separately in other works, in this thesis we seek to offer some contributions to the monitoring of energy, in order to strengthen the synergy between these two concepts. Denominated as Comprehensible Energy Monitoring System (CEMS), it is a solution for monitoring electricity consumption that operates in a centralized, non-intrusive manner, and which performs the energy disaggregation through the analysis of streaming data. The term "comprehensible" in its denomination is given by the system¿s ability to present information that allows the user to comprehend how the electrical and electronic appliances in the home consume electricity, thus enabling behavior adjustment and the development of conscious habits and practices to avoid waste and reduce the energy bill. The proposed system is based on an integrated smart city architecture, with a local processing unit, which operates in conjunction with a cloud platform, for the composition of five fundamental and complementary modules, which perform the extraction of load signatures, detection of events, loads identification, energy consumption estimation and occupancy detection in public and private properties (AU)

• FAPESP's process: 11/00095-6 - Research and development of a system for identification and recognition of activities using sensor/actuator networks
• Grantee: Felipe Marques Pires
• Support Opportunities: Scholarships in Brazil - Doctorate