Smart Meter with Load Prediction Feature for Residential Customers in Bangladesh

Autor: Md. Hamid Sayeed, Md. Tanvir Hasan, Md. Kalim Amzad Chy, S M Taslim Reza, Abdul Kadar Muhammad Masum
Rok vydání: 2019
Předmět:
Zdroj: 2019 International Conference on Energy and Power Engineering (ICEPE).
DOI: 10.1109/cepe.2019.8726787
Popis: Conventional energy meter needs to be monitored physically to make the monthly bill. In substitute of the conventional method, a prepaid meter is installed to calculate the amount of the power consumption and the bill is paid earlier by input a series of digits with the help of meter Dialpad. To know the quantity of the used power, the customer requires to check the energy meter manually through dialing some predefined code. This research paper demonstrates a load forecasting based smart energy meter offering an accurate calculation of the used power and cost, reducing the labor cost, efficient and cost-effective. A microcontroller is engaged in calculating the current, voltage, energy and cost while a GSM module for informing the customers and power distributors about daily power use as well as monthly billing by the SMS system. To illustrate the real-time current, voltage and energy for customer notification a 16×2 Liquid Crystal Display is utilized. An immaculate multimeter that is superbly lined up with the wattmeter is utilized to calculate the current and voltage. To adjust the proposed wattmeter, a variable rheostat has been used where its outcome is nonlinearly contrasted with a conventional wattmeter and obtained the accuracy is about 98%. In addition, forecasting of the following day power consumption makes the proposed framework more exceptional. In consequence of this feature, the system will assist the customer to be economical in power consumption and the amount of power wastage will be diminished drastically. The proposed method is perfect in billing procedure, informing and forecasting the power consumption and enhances the customer satisfaction level.
Databáze: OpenAIRE