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Prepaid Meter Test & Installation Project

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dc.contributor.author Najmul Hoque, Md.
dc.date.accessioned 2020-11-04T04:49:05Z
dc.date.available 2020-11-04T04:49:05Z
dc.date.issued 2020-10-31
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4898
dc.description In mid-1980s prepaid electricity billing was first introduced. The primary purpose of this initiative was supplying electricity at an affordable rate to lower income level people. Their motive was to extend the electricity connection in not only the poor urban area but also in the far poor rural areas (Tewari & Shah, 2003). Some studies tried to find out the consumer perception and adaptability on the prepaid metering system (Quayson-Dadzie, 2012). Its aim was to determine the level of consumer adaptability towards prepaid electricity billing in Accra West Region of ECG. It also analyzed the factors considered by the consumers before adopting prepayment process by using a descriptive model of research design. It took a sample size of 391 from the 18000 consumers of a district. The finding of the study approves the existence of some factors considered by consumers and those play a vital role in accepting and using the prepaid billing system. The response of employees and clients to the transition of service from postpaid to prepaid electricity bill payment was studied in the West Kenya region (Miyogo, Nyanamba, & Nyangweso, 2013). Several models have been used in previous researches to determine user acceptance and usage behavior. The Technology Acceptance Model (TAM) was developed in a research (Davis, 1989) which is actually based on the research (Fishbein & Ajzen, 1977). According to this model Behavioral Intentions (BI) can be predicted by two variables named perceived usefulness and perceived ease of use. Here some variables have been considered as exterior which influence perceived usefulness such as design characteristics, user characteristics, task characteristics, nature of the device or implementation process, political influence, organizational structure etc. Other researchers included some other variables as extra such as self-efficacy, prior usage and experience, objective usability, and user characteristics. Another research has found that there is a direct relationship between perceived usefulness and BI (Davis, Bagozzi, & Warshaw, 1989). This study discussed as other studies (Sheppard, Hartwick, & Warshaw, 1988). en_US
dc.description.abstract The smart meter system has added features that enabled the utilities to recover the meter energy measurement data remotely (GSM) based to mention a few. The system allows monitoring and transmission of energy consumed in real-time. It calculates the amount of energy consumed through the multiplication of voltage and current signals. A standard electrical measurement such as current, voltage, power and energy consumption will be displayed via liquid crystal display (LCD). The external communication device is required in the actualization of this project, in-conjunction with the control unit based on the existing mobile technology called “GSM”. During the collection process of data collected were inadequate due to factors such as bad weather, constant attacks on operators, inability to correct faults, and other factors that rendered the system highly inadequate. However, the rapid growth in population and industrial development has increased the demand for more human operators and longer working hours. The problem of disconnecting and reconnecting supply by utilities due to unpaid bills is considered problematic. However, this cannot be achieved if there is no better way of metering; thus, the need for a smart meter becomes necessary. The smart meter is more reliable and efficient. It is an improved automatic meter reading (AMR) system. en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Installation en_US
dc.subject Meter en_US
dc.title Prepaid Meter Test & Installation Project en_US
dc.type Other en_US


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