Machine learning based power saving mechanism for fridge: An experimental study using GISMO III board

Power consumption plays an important role in our daily life. Many people still use Non-Renewable energy sources to generate power. As the resources (fossil fuels, coal, etc) are limited, power should be utilized effectively. One of the appliance that consumes more power among home appliances is fridge. People sometimes forget to close the fridge door after their usage, or sometimes door may not be closed properly which will lead to more power consumption. The objective of the proposed work is to find out the status of the fridge door using machine learning algorithms. Authors also discussed the experimental results to validate the proposed concept.