AI Reduce Electricity Bill: Researchers at the University of Waterloo have discovered a new way to reduce electricity!


Artificial Intelligence:  Researchers at the University of Waterloo have found a new way to reduce electricity consumption in buildings. This method can save up to 25% of electricity. They have identified 28 major places around the corners of walls and windows, where the most heat is lost. They examined a building in which many families live and found that if 70% of the places are fixed, up to 25% of electricity can be saved. 


Air leaks through the walls and windows of buildings and heat escapes, making living uncomfortable and increasing energy costs. Climate change will cause rapid temperature changes, which will further aggravate this problem. Inspecting buildings usually takes a lot of time and there are few qualified personnel who can identify such places. Therefore, most buildings consume a lot of electricity. 

Scientists  found this way 

To solve this problem, scientists at the University of Waterloo have created a new way to inspect buildings. This method runs on its own and gives information in real-time. This method uses artificial intelligence (AI), infrared technology, and mathematical models. This model analyzes the building and tells from which places the heat is escaping.

Researchers examined a multi-family building in Canada. The elderly residents were uncomfortable and had high electricity bills because they had to use more electricity to keep their homes warm. They used AI tools to teach a program to examine thermal images for heat in real-time. The program could detect heat leakage through the building's walls with 81% accuracy. 

AI reduces the chance of error

Dr. Mohammad Arji, director of the Architectural Engineering Program at the University of Waterloo, says that "the accuracy of this model with AI is about 10% more. This provides comfort to the occupants and also reduces electricity costs." He also said that with the help of AI tools, the scope of error in the test results has reduced and now the analysis of data has become 12 times faster than testing with traditional methods.