| Full text | |
| Author(s): |
de Souza, Wesley Angelino
[1]
;
Garcia, Fernando Deluno
[2]
;
Marafao, Fernando Pinhabel
[2]
;
Pereira da Silva, Luiz Carlos
[3]
;
Simoes, Marcelo Godoy
[4]
Total Authors: 5
|
| Affiliation: | [1] Fed Univ Sao Carlos UFSCar, Dept Comp Sci, BR-18052780 Sorocaba, SP - Brazil
[2] Sao Paulo State Univ UNESP, Inst Sci & Technol Sorocaba, BR-18087180 Sorocaba, SP - Brazil
[3] Univ Campinas UNICAMP, Sch Elect & Comp Engn FEEC, BR-13083852 Campinas, SP - Brazil
[4] Colorado Sch Mines, Dept Elect Engn, Golden, CO 80401 - USA
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | ENERGIES; v. 12, n. 14 JUL 2 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
A new generation of smart meters are called cognitive meters, which are essentially based on Artificial Intelligence (AI) and load disaggregation methods for Non-Intrusive Load Monitoring (NILM). Thus, modern NILM may recognize appliances connected to the grid during certain periods, while providing much more information than the traditional monthly consumption. Therefore, this article presents a new load disaggregation methodology with microscopic characteristics collected from current and voltage waveforms. Initially, the novel NILM algorithm-called the Power Signature Blob (PSB)-makes use of a state machine to detect when the appliance has been turned on or off. Then, machine learning is used to identify the appliance, for which attributes are extracted from the Conservative Power Theory (CPT), a contemporary power theory that enables comprehensive load modeling. Finally, considering simulation and experimental results, this paper shows that the new method is able to achieve 95% accuracy considering the applied data set. (AU) | |
| FAPESP's process: | 16/08645-9 - Interdisciplinary research activities in electric smart grids |
| Grantee: | João Bosco Ribeiro do Val |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 12/19375-1 - Study of analysis and technologies techniques for the development of energy smartmeters with a focus on residential microgrids |
| Grantee: | Wesley Angelino de Souza |
| Support Opportunities: | Scholarships in Brazil - Doctorate |