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Mendeley readers
Attention Score in Context
| Title |
DC-based smart PV-powered home energy management system based on voltage matching and RF module
|
|---|---|
| Published in |
PLOS ONE, September 2017
|
| DOI | 10.1371/journal.pone.0185012 |
| Pubmed ID | |
| Authors |
Ahmad H. Sabry, W. Z. W. Hasan, MZA Ab. Kadir, M. A. M. Radzi, S. Shafie |
| Abstract |
The main tool for measuring system efficiency in homes and offices is the energy monitoring of the household appliances' consumption. With the help of GUI through a PC or smart phone, there are various applications that can be developed for energy saving. This work describes the design and prototype implementation of a wireless PV-powered home energy management system under a DC-distribution environment, which allows remote monitoring of appliances' energy consumptions and power rate quality. The system can be managed by a central computer, which obtains the energy data based on XBee RF modules that access the sensor measurements of system components. The proposed integrated prototype framework is characterized by low power consumption due to the lack of components and consists of three layers: XBee-based circuit for processing and communication architecture, solar charge controller, and solar-battery-load matching layers. Six precise analogue channels for data monitoring are considered to cover the energy measurements. Voltage, current and temperature analogue signals were accessed directly from the remote XBee node to be sent in real time with a sampling frequency of 11-123 Hz to capture the possible surge power. The performance shows that the developed prototype proves the DC voltage matching concept and is able to provide accurate and precise results. |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 23% |
| Student > Bachelor | 8 | 13% |
| Student > Ph. D. Student | 6 | 10% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 17 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 38% |
| Energy | 6 | 10% |
| Environmental Science | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 19 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2017.
All research outputs
#4,221,301
of 23,006,268 outputs
Outputs from PLOS ONE
#60,563
of 196,139 outputs
Outputs of similar age
#75,164
of 318,504 outputs
Outputs of similar age from PLOS ONE
#1,022
of 3,816 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 196,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 3,816 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.