scholarly journals Hardware and Software Integration of an Electrophoretic display on a smart meter

2019 ◽  
Vol 29 ◽  
pp. 03003
Author(s):  
Sebastian Avram ◽  
Cătălin Daniel Căleanu ◽  
Radu Vasiu ◽  
Andreea-Mirela Safta ◽  
Horatiu George Belei
Keyword(s):  
Liquid Crystal ◽  
User Interface ◽  
Power Consumption ◽  
Low Cost ◽  
Liquid Crystal Displays ◽  
Smart Meter ◽  
Software Integration ◽  
Smart Meters ◽  
Lower Power ◽  
Electrophoretic Display

Electronic and smart electricity meters traditionally use as user interface liquid crystal displays due to low cost and proven technology. This paper presents the integration of a flexible electrophoretic display on a smart meter and the possible use cases of such a display. The two main benefit of EPD displays are image retention which can be used as read without power feature and lower power consumption compared to LCD for smart meters. The smart meters available on the market use batteriesor super capacitors for the read without power feature and require each 20ms tenths of mA to displayinformation on the LCD.

scholarly journals Adaptive charge sharing method for liquid crystal displays with lower power consumption

2015 ◽  
Vol 54 (5) ◽  
pp. 053111
Author(s):  
Seung-Ryeol Kim ◽  
Jong-Man Kim ◽  
Minkoo Kim ◽  
Seung-Woo Lee
Keyword(s):  
Liquid Crystal ◽  
Power Consumption ◽  
Liquid Crystal Displays ◽  
Charge Sharing ◽  
Lower Power

scholarly journals Evaluation Model of Operation State Based on Deep Learning for Smart Meter

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4674
Author(s):  
Qingsheng Zhao ◽  
Juwen Mu ◽  
Xiaoqing Han ◽  
Dingkang Liang ◽  
Xuping Wang
Keyword(s):  
Deep Learning ◽  
Power Consumption ◽  
Detection Efficiency ◽  
Evaluation Model ◽  
Smart Meter ◽  
Smart Meters ◽  
Abnormal Detection ◽  
Prediction Residual ◽  
Threshold Setting ◽  
Training Efficiency

The operation state detection of numerous smart meters is a significant problem caused by manual on-site testing. This paper addresses the problem of improving the malfunction detection efficiency of smart meters using deep learning and proposes a novel evaluation model of operation state for smart meter. This evaluation model adopts recurrent neural networks (RNN) to predict power consumption. According to the prediction residual between predicted power consumption and the observed power consumption, the malfunctioning smart meter is detected. The training efficiency for the prediction model is improved by using transfer learning (TL). This evaluation uses an accumulator algorithm and threshold setting with flexibility for abnormal detection. In the simulation experiment, the detection principle is demonstrated to improve efficient replacement and extend the average using time of smart meters. The effectiveness of the evaluation model was verified on the actual station dataset. It has accurately detected the operation state of smart meters.

High-Performance and Low-Cost Aluminum Zinc Oxide and Gallium Zinc Oxide Electrodes for Liquid Crystal Displays

2016 ◽  
Vol 12 (10) ◽  
pp. 1033-1039 ◽  
Author(s):  
Andrii Varanytsia ◽  
Libo Weng ◽  
Tzu-Chieh Lin ◽  
Jing Yang ◽  
Liang-Chy Chien
Keyword(s):  
Zinc Oxide ◽  
Liquid Crystal ◽  
High Performance ◽  
Low Cost ◽  
Liquid Crystal Displays ◽  
Oxide Electrodes ◽  
Aluminum Zinc Oxide

scholarly journals Smart Metering: A Better Way To Monitor Consumer Electricity Usage

2020 ◽  
Author(s):  
Asma Khatoon
Keyword(s):  
Cost Saving ◽  
Low Cost ◽  
Smart Meter ◽  
Smart Metering ◽  
Market Segment ◽  
Market Survey ◽  
Smart Meters ◽  
Process Flow ◽  
Total Cost ◽  
Complete Market

<div>This paper presents the development and implementation of a low-cost smart meter.</div><div>The smart meter is one of the major components of the distribution network. The</div><div>proposed low-cost smart meter is compared with already existing smart meters</div><div>deployed in the market. The comparison metrics involve cost, security, installation,</div><div>and lifetime. In this study, we have presented the market segment and the beachhead</div><div>market of the proposed product. The TAM size is calculated for better market</div><div>analysis by calculating the overall customer size. A complete proposed process flow</div><div>is explained for cost saving comparison, along with a complete market survey. In this</div><div>paper, the whole technology and hardware needed for the low-cost smart meter is</div><div>explained in detail along with the total cost of testing and installation.</div>

scholarly journals A Low-Power Memory-in-Pixel Circuit for Liquid Crystal Displays Comprising Low-Temperature Poly-Silicon and Oxide Thin-Film Transistors

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1958
Author(s):  
Jongbin Kim ◽  
Woo-Rim Lee ◽  
Hoon-Ju Chung ◽  
Seung-Woo Lee
Keyword(s):  
Thin Film ◽  
Liquid Crystal ◽  
Low Temperature ◽  
Power Consumption ◽  
Low Power ◽  
Thin Film Transistors ◽  
Polycrystalline Silicon ◽  
Liquid Crystal Displays ◽  
Oxide Thin Film ◽  
Measurement Results

In this paper, a new pixel structure using low-temperature polycrystalline silicon and oxide (LTPO) thin-film transistors (TFTs) for low-power liquid crystal displays (LCDs) is proposed. The extremely low off-state current of oxide semiconductor TFTs enables the proposed circuit to operate at a very low frame frequency of 1/60 Hz, so that the power consumption can be significantly reduced. In addition, the low-temperature polycrystalline silicon TFTs with high reliability directly drive pixels, which can achieve stable and flicker-free LCDs. The proposed circuit is fabricated using the LTPO TFT backplane and successfully verified by simulation and measurement results. The measurement results prove that the proposed circuit operates well without further programming for 60 s, and the power consumption in the panel (except backlight power) can be reduced to 0.02% of that of conventional LCD.

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