Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andrei Sebastian Ardeleanu"'
Publikováno v:
Advanced Materials Research. 837:495-499
When the optimization of the manufacturing units is considered, the management usually focus on equipment costs and technology parameters. However, being the rising price of the energy, the energy efficiency has become a sensitive issue. Detailed ene
Publikováno v:
Advanced Materials Research. 772:448-454
Each appliance determines a specific variation in power consumption when is switched from one state to another. Analysing the profile of this variation, a set of features can be extracted and further used to detect the consumers transitions. Based on
Publikováno v:
2014 International Conference and Exposition on Electrical and Power Engineering (EPE).
Publikováno v:
2014 International Conference and Exposition on Electrical and Power Engineering (EPE).
Publikováno v:
2013 8TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).
Frequency estimation is an important subject of research in different research areas, such as wireless communication, acoustic and speech processing, sonar and radar measurements. Currently there are available methods that use time domain and frequen
Publikováno v:
2013 8TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).
The main resources used in electricity generation are becoming fewer, while the impact of renewable resources is still quite small. To allow the necessary time for the technology of renewable resources to mature, a requirement is to increase the ener
Publikováno v:
2012 International Conference and Exposition on Electrical and Power Engineering.
Frequency estimation is used in various applications, such as wireless communications, acoustic and speech processing, sonar and radar measurements. The classic approach uses the Fourier Transform, which estimates the frequencies at fixed points in f
Publikováno v:
2012 International Conference and Exposition on Electrical and Power Engineering.
Each electrical appliance has its own pattern of using the electricity. Identifying these patterns can lead to a disaggregation of the entire electricity consumption. This disaggregation, brought to the user, offers a better understanding on how the
Publikováno v:
Metrology and Measurement Systems. 18
In this paper, an algorithm that monitors the power system to detect and classify power quality events in real time is presented. The algorithm is able to detect events caused by waveform distortions and variations of the RMS va lues of the voltage.