IoT Based Power Consumption Monitoring for Home Appliances | Chapter 5 | Intelligent IoT Systems: From Research to Real-World Solutions

 

This study seeks to create a smart system that has the potential to monitor and manage electricity use in homes by the Internet of Things (IoT) technology. Energy usage within homes is increasing due to the use of more appliances daily. This system attempts to reduce wasted power consumption and save users money by monitoring the power consumption of all home appliances in real time. The system makes use of smart meters and sensors located in real homes, and captures the data for the energy consumption of households and sends the information from the home to a central computer or to a Cloud server. The dataset that we used for this work was a combination of real-time IoT sensor readings measured within homes and previously publicly available smart energy datasets so as to be able to train and test the forecasting model. This study used machine learning forecasting generative models' long short-term memory' (LSTM) and Extreme Gradient Boost (XGBoost) to forecast power usage, where the results achieved a mean absolute error (MAE) of 2.8% and root mean square error (RMSE) of 3.5%. As stated in these results highlighted the proposed approach were effective in forecasting near-term and long-term consumption trends compared to the ground-truth. The great value of the platform includes a friendly user dashboard showing the energy consumption trends, peak usage hours, and alerts, should anything alarming happen to the household electric supply. Furthermore, the platform can provide useful information, such as optimal times to use heavy appliances to avoid unexpectedly high bills. The platform provides full support for renewable energy sources such as solar and wind energy, and can operate irrespective of the homeowners' internet speeds.

 

 

Author(s) Details

Rajendra M Jotawar
Department of MCA, Acharya Institute of Technology, Bangalore-560107, India.

 

Pragathi K N
Department of MCA, Acharya Institute of Technology, Bangalore-560107, India.

 

Vathsala M R
Department of MCA, Acharya Institute of Technology, Bangalore-560107, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mono/978-93-88417-94-5/CH5