Abstract
Increasing of electric power consumption and electricity price are making customers more sensitive in addressing the issues. Therefore, the accuracy of the recording device power consumption (kWh-meter) becomes an absolute necessity to reduce potential conflicts that may arise. This paper proposed prototype of smart-meter which combines transient peak value and steady state values to identify an activity of electrical appliances. These values are used as the identity of electrical appliances that will be taught to Constructive Backpropagation Neural Network (CBP-NN) to record power consumption in detail, including type appliance and time use. The proposed method has very simple structure, it only uses two input (transient peak value and steady state values) and single hidden layer with five neuron. The number of output is equal to the number of appliance. So that, the proposed method implement in microsprocessor system or in standalone product.
| Original language | English |
|---|---|
| Title of host publication | 2014 1st International Conference on Information Technology, Computer, and Electrical Engineering |
| Subtitle of host publication | Green Technology and Its Applications for a Better Future, ICITACEE 2014 - Proceedings |
| Editors | Mochammad Facta, R. Rizal Isnanto, Munawar Agus Riyadi, Dania Eridani |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 144-149 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479964314 |
| DOIs | |
| Publication status | Published - 23 Mar 2015 |
| Externally published | Yes |
| Event | 2014 1st International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2014 - Semarang, Indonesia Duration: 8 Nov 2014 → 9 Nov 2014 |
Publication series
| Name | 2014 1st International Conference on Information Technology, Computer, and Electrical Engineering: Green Technology and Its Applications for a Better Future, ICITACEE 2014 - Proceedings |
|---|
Conference
| Conference | 2014 1st International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2014 |
|---|---|
| Country/Territory | Indonesia |
| City | Semarang |
| Period | 8/11/14 → 9/11/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Analog to digital converter
- Constructive Back Propagation
- Neural Network
- sinyal transient (peak value dan steady state value)
- smart meter
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