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Electricity meter

About: Electricity meter is a research topic. Over the lifetime, 7894 publications have been published within this topic receiving 42430 citations. The topic is also known as: electric meter & electrical meter.


Papers
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Patent
12 Mar 2002
TL;DR: In this article, an interface device for partitioning and deliverables from a power line to a home communications network is presented, where both electric power and communications signals are delivered through a LAN to end-points.
Abstract: An interface device for partitioning and deliverables from a power line to a home communications network. The deliverables include both electric power and communications signals. The communications signals, such as data signals, are delivered through a LAN to end-points. The device of the invention is bidirectional as it provides both upstream and downstream communications traffic. The interface can also furnish Information to the power meter and obtain information from it.

15 citations

Patent
16 Nov 2016
TL;DR: In this article, a load identification method for the load identification system for the household intelligent electric meter based on the similarity algorithm is presented. But the method is characterized in that steady-state and transient-state power features in the case of normal work of the household appliance are taken as feature parameters; through comparing and measuring the similarity between the feature parameters and a household appliance load feature parameter database, the type and the working state of the power load are determined; and then, through matching switching events, the corresponding power consumption of each household appliance is obtained Compared with the prior art,
Abstract: The invention discloses a load system for a household intelligent electric meter based on a similarity algorithm, which comprises the household intelligent electric meter, a steady-state power detection module, a transient-state power detection module, a comparator, a central processing unit, a communication module, a database and a server The invention also discloses a load identification method for the load identification system for the household intelligent electric meter based on the similarity algorithm The method is technically characterized in that steady-state and transient-state power features in the case of normal work of the household appliance are taken as feature parameters; through comparing and measuring the similarity between the feature parameters and a household appliance load feature parameter database, the type and the working state of the power load are determined; and then, through matching switching events, the corresponding power consumption of each household appliance is obtained Compared with the prior art, the purpose of identifying typical resistive and non-resistive appliances in the home in no need of a sample data training or learning process in advance is realized, a power list like a telephone list is provided for the user, and the user can adjust and plan use of the household appliances for energy conservation

15 citations

Proceedings ArticleDOI
07 Jul 2019
TL;DR: From the experimental results, it is demonstrated that the presented deep learning methods detect the digital region better than the pre-trained SSD model.
Abstract: Every two months, the Taiwan Power Company will dispatch staffs to each household to read numbers in electricity meters to calculate and collect electricity bills. However, these electricity meter staff sometimes read the wrong meter numbers and so calculate the wrong electricity bill. A system that automatically detects the digital region in electricity meter, could reduce this misreading of numbers and calculate the electricity bill correctly, thereby increasing work efficiency. Herein, the deep learning model SSD (Single Shot MultiBox Detector) is applied and fine-turned to detect the digital region in electricity meter to help the Taiwan Power Company staff. From the experimental results, it is demonstrated that the presented deep learning methods detect the digital region better than the pre-trained SSD model. In the testing experiments, the accuracies of the digital region detection are 100% for both our collected data's and fine-tuned SSD, respectively.

15 citations

Patent
17 Oct 2007
TL;DR: In this article, a high voltage electric energy meter gauging device was proposed to achieve the integral measuring precision of the high voltage measuring device, which greatly improved the working efficiency of the meter.
Abstract: The utility model discloses a high voltage electric energy meter gauging device which comprises a low voltage current signal generating device whose output end is connected with a voltage booster and a current booster. The output ends of the voltage booster and the current booster are connected with a high voltage heavy current loop. The high voltage heavy current loop on which the gauged meter is working samples the high voltage heavy current signal to a standard electric energy meter at the lower voltage end using a high voltage current mutual inductor and a high voltage mutual inductor. The energy impulse outputted by the gauged meter is transmitted to a comparison gauging display device at the lower voltage end to compare with the high frequency gauging impulse of the standard electric power meter and compute the electric energy computation error. The high voltage electric energy meter gauging device achieves the integral measuring precision gauging of the high voltage measuring device which greatly improves the working efficiency.

15 citations

Journal ArticleDOI
TL;DR: An artificial neural network (ANN)-based method for the design of a digital power meter, which is able to evaluate the power quantities suggested in IEEE Standard 1459-2010 for a single-phase system is described.
Abstract: This paper describes an artificial neural network (ANN)-based method for the design of a digital power meter, which is able to evaluate the power quantities suggested in IEEE Standard 1459-2010 for a single-phase system. The solution procedure contains two stages. In the first stage, the spectral analysis of voltage and current signals is performed separately with the ANN-based method in a real-time manner. Then, the power quantities and evaluation indices are calculated in the second stage according to the requirements in IEEE Standard 1459-2010. Finally, a personal-computer-based instrument implemented with LabVIEW is developed to verify the usefulness of the proposed mechanism.

15 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202396
2022222
2021142
2020411
2019607
2018719