Halima Haque, a student of Independent University, Bangladesh (IUB) Electrical and Electronic Engineering (EEE), has created an artificial intelligence -based prediction model to improve the power supply of Dhaka and reduce load shedding.
This model is capable of predicting the power demand of Dhaka, which will help ensure properly distribution of electricity, especially during intense summer demand. As a result, it will be easy to reduce load shedding and ensure proper use of renewable energy.
Halima's research is Professor of IUB EEE Department. Md. He was run under the supervision of Abdur Razzak. It analyzes more than 1 million data collected from Dhaka Electric Supply Company Limited (DESCO) between 2021 and 2021. It analyzes the power consumption of the residential, commercial and industrial sectors, where various issues such as weather, electricity consumption and customs structure have been taken into consideration.
Halima said, “Due to increasing urbanization and industrialization, the demand for electricity is increasing steadily. If we can predict properly, the distribution of electricity can be further effective, reduced load shedding will be possible and renewable energy management can also be done well. This artificial intelligence -based technology will help the power distribution agencies and policy makers to make the right decisions, so that the power supply is more stable and sustainable. '
The study has tested five machine learning models: K-Niast Neighbors, Random Forest, Light Gradient Boosting Model, Extreme Gradient Boosting and Multiple Linar Regulation. The research has already been presented at the ITRIPLE conference held in Maldives and Thailand and published in the world -renowned Itripol Transaction on Industry Application Journal.
This is an important research to make Bangladesh's electricity modern and sustainable, said Professor Dr. Md. Abdur Razzak. “Machine learning helps us understand the tendency to use electricity, which will make it possible to create more effective policies,” he said. As a result, load shedding will be reduced and the path to sustainable urban plans will be paved. '
