electricity billing system research paper

Next-Generation Billing Systems: The Smart eBill Revolution

Khader Basha Sk, R Sai Srinivas, P Naveen Kumar, D Kalayani Sai and A Mahendra, Next-Generation Billing Systems: The Smart eBill Revolution, International Journal for Modern Trends in Science and Technology, 2024, 10(02), pages. 39-45. https://doi.org/10.46501/IJMTST1002006

7 Pages Posted: 7 Mar 2024

Khader Basha Sk

Chalapathi Institute of Technology

R Sai Srinivas

Chalapathi institute of technology - department of computer science and engineering, p naveen kumar, d kalayani sai.

Date Written: February 16, 2024

Efficient monitoring of electrical consumption is essential for promoting energy conservation and optimizing electricity usage. This project introduces a "Smart EBill System" using current and voltage sensors, along with an LCD display for real-time energy consumption tracking. The system aims to provide users with instant information on their electricity usage, helping them make informed decisions and promoting energy efficiency. This integration of sensors and a display offers an intelligent solution for smart and user-friendly electricity bill monitoring. In today's digital age, electronic billing systems have become a cornerstone of modern business operations, offering convenience, efficiency, and sustainability compared to traditional paper-based billing methods. However, as electronic billing systems evolve, there is a growing need for smarter, more intuitive solutions that enhance user experience, streamline processes, and leverage emerging technologies. This paper presents Smart eBill, a next-generation electronic billing system designed to address these evolving needs. Smart eBill integrates advanced features such as artificial intelligence, machine learning, and data analytics to revolutionize the billing experience for businesses and consumers alike. The system employs AI algorithms to automate billing processes, including invoice generation, delivery, and payment reconciliation, reducing manual errors and administrative overhead. Furthermore, Smart eBill leverages machine learning techniques to analyze billing data and provide personalized insights and recommendations to users. By understanding user preferences, spending patterns, and historical data, the system offers tailored suggestions for optimizing billing arrangements, reducing costs, and improving financial management.

Keywords: Current And Voltage Sensors, Microcontroller Unit (MCU), IoT

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• Corpus ID: 212496011

Smart Electricity Billing System

• K. Kundeti , Saikumar Pallagani
• Published 2016
• Engineering, Computer Science

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Centralized electricity billing and monitoring system with power theft control, a comparison of smart electricity billing systems, estimated billing system is the bane of grid electric power supply and development in nigeria: an empirical analysis, a comprehensive approach to electricity billing management using java swing and sql, 7 references, design and implementation of low cost electronic prepaid energy meter, a single phase microcontroller based energy meter, wireless smart grid design for monitoring and optimizing electric transmission in india, a prepaid meter using mobile communication, related papers.

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Issues and Challenges of Existing Electricity Pre-Paid Smart Metering Systems A Review.pdf

The existing conventional metering system does not have a bi-directional communication mechanism to send the meter readings to electric power companies for real time billing purposes and also unable to control the non-technical losses occurring at consumer premises. Hence, the electricity smart meters have been introduced in different countries to transfer the meter reading automatically and control the non-technical losses at the power distribution site. Furthermore, by the implementation of electricity smart meters on feeders, transformers and distribution ends, a better online system has been incorporated in the existing infrastructure of electricity. In addition, huge number of prepaid smart meters has been adopted to develop bidirectional communication mechanism between smart meters and electric power companies. Moreover, the installation of prepaid smart meters was used as a tool to manage the non-technical losses at feeder level. However, these prepaid smart meters have encountered several limitations and could not be suitable for everywhere, because every country has different technical and non-technical problems in the existing electricity infrastructure. In the literature, many researchers highlighted the features and advantages of prepaid smart metering system, this review paper systematically analyses the issues and challenges in existing electricity prepaid smart metering system.

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Research on Gait Switching Method Based on Speed Requirement

• Research Article
• Published: 04 September 2024

Cite this article

• Weijun Tian 1 ,
• Kuiyue Zhou 1 ,
• Jian Song 1 ,
• Zhu Chen 1 ,
• Ziteng Sheng 1 ,
• Ruizhi Wang 2 ,
• Jiang Lei 2 &
• Qian Cong 1  

Real-time gait switching of quadruped robot with speed change is a difficult problem in the field of robot research. It is a novel solution to apply reinforcement learning method to the quadruped robot problem. In this paper, a quadruped robot simulation platform is built based on Robot Operating System (ROS). openai-gym is used as the RL framework, and Proximal Policy Optimization (PPO) algorithm is used for quadruped robot gait switching. The training task is to train different gait parameters according to different speed input, including gait type, gait cycle, gait offset, and gait interval. Then, the trained gait parameters are used as the input of the Model Predictive Control (MPC) controller, and the joint forces/torques are calculated by the MPC controller.The calculated joint forces are transmitted to the joint motor of the quadruped robot to control the joint rotation, and the gait switching of the quadruped robot under different speeds is realized. Thus, it can more realistically imitate the gait transformation of animals, walking at very low speed, trotting at medium speed and galloping at high speed. In this paper, a variety of factors affecting the gait training of quadruped robot are integrated, and many aspects of reward constraints are used, including velocity reward, time reward,energy reward and balance reward. Different weights are given to each reward, and the instant reward at each step of system training is obtained by multiplying each reward with its own weight, which ensures the reliability of training results. At the same time, multiple groups of comparative analysis simulation experiments are carried out. The results show that the priority of balance reward, velocity reward, energy reward and time reward decreases successively and the weight of each reward does not exceed 0.5.When the policy network and the value network are designed, a three-layer neural network is used, the number of neurons in each layer is 64 and the discount factor is 0.99, the training effect is better.

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Acknowledgements

This research was funded by the Science and Technology Development Program of Jilin Province, China (Grant No. 20230101117JC), National Natural Science Foundation of China (Grant No. 51305157).

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Weijun Tian, Kuiyue Zhou, Jian Song, Xu Li, Zhu Chen, Ziteng Sheng & Qian Cong

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Tian, W., Zhou, K., Song, J. et al. Research on Gait Switching Method Based on Speed Requirement. J Bionic Eng (2024). https://doi.org/10.1007/s42235-024-00589-1

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Received : 03 January 2024

Revised : 21 July 2024

Accepted : 12 August 2024

Published : 04 September 2024

DOI : https://doi.org/10.1007/s42235-024-00589-1

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