Network and feeder assignment of smart meters based on communication and measurement data

2015 ◽  
Author(s):  
Konrad Diwold ◽  
Matthias Stifter ◽  
Paul Zehetbauer
Keyword(s):  
Measurement Data ◽  
Smart Meters ◽  
Feeder Assignment

scholarly journals Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set

2016 ◽  
pp. 1-1 ◽  
Author(s):  
Mathias R. Kielgast ◽  
Anders C. Rasmussen ◽  
Mathias H. Laursen ◽  
Jimmy J. Nielsen ◽  
Petar Popovski ◽  
...  
Keyword(s):  
Measurement Data ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Strength Distribution ◽  
Smart Meters ◽  
Data Set

scholarly journals Multi-agent System for Management of Data from Electrical Smart Meters

2021 ◽  
Vol 13 (1) ◽  
pp. 18-43
Author(s):  
Yazid Hambally Yacouba ◽  
◽  
Amadou Diabagaté ◽  
Abdou Maiga ◽  
Adama Coulibaly
Keyword(s):  
Data Collection ◽  
Smart Grid ◽  
Data Management ◽  
Measurement Data ◽  
Smart Meter ◽  
Grid System ◽  
Smart Meters ◽  
Central System ◽  
Multi Agent ◽  
Smart Grid System

The smart meter can process sensor data in a residential grid. These sensors transmit different parameters or measurement data (index, power, temperature, fluctuation of voltage and electricity, etc.) to the smart meter. All of these measurement data can come in different ways at the smart meter. The sensors transmit each measurement data to the smart meter. In addition, the collection of this data to a central system is a significant concern to ensure data integrity and protect the privacy of residents. The complexity of these data management also lies in their volume, frequency, and scheduling. This work presents a scheduling and a collection mechanism in private power consumption data between both sensors and smart meters on one hand and between smart meters and the central data collection system on other hand. We have found several approaches to intelligent meter data management in scientific researches. We propose another approach in response to this concern for the scheduling and collection of measurement data to a central system from residential areas of sensors’ network connected to smart meters. This work is also an example of a link between data collection and data scheduling in intelligent information management, transmission, and protection. We also propose a modeling of the measurement objects of smart grid and highlight the changes made to these objects throughout the process of data processing. It should be noted that this smart grid system consists of three main active systems namely sensors, smart meters and central system. In addition to these three systems, there are other systems that communicate with the smart meters and the central system. We have identified three implementation models for the smart metering system. We also present an intelligent architecture based on multi-agent systems for the smart grid. Most current electricity management systems are not adapted to the new challenges imposed by social and economic development in Africa. The objectives of this study are to initiate the design of a smart grid system for the management of electricity data.

scholarly journals A Fuzzy-SOM Method for Fraud Detection in Power Distribution Networks with High Penetration of Roof-Top Grid-Connected PV

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1287 ◽  
Author(s):  
Alireza Vahabzadeh ◽  
Alibakhsh Kasaeian ◽  
Hasan Monsef ◽  
Alireza Aslani
Keyword(s):  
Power Distribution ◽  
Measurement Data ◽  
Distribution Networks ◽  
Smart Meters ◽  
Power Distribution Networks ◽  
Bottom Up ◽  
High Penetration ◽  
Normal Behavior ◽  
Som Model ◽  
Energy Theft

This study proposes a fuzzy self-organized neural networks (SOM) model for detecting fraud by domestic customers, the major cause of non-technical losses in power distribution networks. Using a bottom-up approach, normal behavior patterns of household loads with and without photovoltaic (PV) sources are determined as normal behavior. Customers suspected of energy theft are distinguished by calculating the anomaly index of each subscriber. The bottom-up method used is validated using measurement data of a real network. The performance of the algorithm in detecting fraud in old electromagnetic meters is evaluated and verified. Types of energy theft methods are introduced in smart meters. The proposed algorithm is tested and evaluated to detect fraud in smart meters also.

Metrological support of individual blood glucose meters in telemedicine

2019 ◽  
pp. 52-56
Author(s):  
Yu.F. Glukhov ◽  
N.V. Krutikov ◽  
A.V. Ivanov ◽  
N.P. Muravskaya
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Measurement Data ◽  
Test Method ◽  
Level Measurement ◽  
Measurement Devices ◽  
Real Practice ◽  
Health Care Centers ◽  
Medical Measurement

We have studied and analyzed status and metrological supervision of blood glucose monitors, individual devices for a person’s blood glucose level measurement. It has been indicated that nowadays blood glucose monitors like other individual devices for medical measurement are not allowed to be involved in telemedicine public service. This accounts for absence of metrological supervision with these measurement devices in telemedicine. In addition, the key problem is absence of safe methods and means of remote verificaition, calibration and transmission of measurement data to health care centers. The article offers a remote test method for blood glucose monitors using a number of resistors with values correlating with measured blood glucose level. The available method has been successfully trialed in real practice.

A Survey on Internet of Things : Applications and Layered Wise Security Issues

2019 ◽  
pp. 171-180
Author(s):  
Uppuluri Sirisha ◽  
G. Lakshme Eswari
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Security And Privacy ◽  
Global Network ◽  
Business Growth ◽  
Paper Briefly ◽  
Smart Meters ◽  
Security Issues ◽  
Data Points

This paper briefly introduces Internet of Things(IOT) as a intellectual connectivity among the physical objects or devices which are gaining massive increase in the fields like efficiency, quality of life and business growth. IOT is a global network which is interconnecting around 46 million smart meters in U.S. alone with 1.1 billion data points per day[1]. The total installation base of IOT connecting devices would increase to 75.44 billion globally by 2025 with a increase in growth in business, productivity, government efficiency, lifestyle, etc., This paper familiarizes the serious concern such as effective security and privacy to ensure exact and accurate confidentiality, integrity, authentication access control among the devices.

Intelligent building development and LabView-based modelling of a net zero-energy strategy

2014 ◽  
Vol 5 (2) ◽  
pp. 157-166 ◽  
Author(s):  
Cs. Szász
Keyword(s):  
Development Strategy ◽  
Measurement Data ◽  
Renewable Energy Resources ◽  
Balance Performance ◽  
Zero Energy ◽  
Intelligent Building ◽  
Labview Software ◽  
Net Zero Energy ◽  
Net Zero Energy Building ◽  
Net Zero

The paper presents an intelligent building (IB) development strategy emphasizing the locally available non-polluting renewable energy resources utilization. Considering the immense complexity of the topic, the implementation strategy of the main energy-flow processes is unfolded, using the net zero-energy building concept (NZEB). Noticeably, in the first research steps the mathematical background of the considered NZEB strategy has been developed and presented. Then careful LabView software-based simulations prove that the adopted strategy is feasible for implementation. The result of the above mentioned research efforts is a set of powerful and versatile software toolkits well suitable to model and simulate complex heating, ventilation and air-conditioning processes and to perform energy balance performance evaluations. Besides the elaborated mathematical models, concrete software implementation examples and measurement data also is provided in the paper. Finally, the proposed original models offer a feasible solution for future developments and research in NZEB applications modelling and simulation purposes.

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