Machine Learning Bill Prediction for IoT-based Utility Management System

Author:

Hadi Wan Nuraihan Hajidah Wan Abdul1,Rashid Rozeha A.2,Sarijari M. Adib2,Hamid S. Zaleha A.2,Muhammad Nor Aishah2

Affiliation:

1. Universiti Teknologi Malaysia (UTM),Faculty of Electrical Engineering,Johor Bahru,Malaysia

2. Universiti Teknologi Malaysia (UTM),Faculty of Electrical Engineering,Department of Communication Engineering,Johor Bahru,Malaysia

Funder

Universiti Teknologi Malaysia

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Neonatal Incubator Energy Management and Monitoring through IoT-Enabled CNN-LSTM Combination Predictive Model;Applied Sciences;2023-12-04

2. Electricity Billing and Consumption Prediction using Machine Learning;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

3. NS-3 Based Open-Source Implementation of MQTT Protocol for Smart Building IoT Applications;2023 International Conference on Communication, Computing and Digital Systems (C-CODE);2023-05-17

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