Machine learning based power saving mechanism for fridge: An experimental study using GISMO III board
| Autor: | N V Ganapathi Raju, P. Sampath Krishna Reddy, K.N. Balaji Kumar, G. Pradeep Kumar Reddy, A. Radhanand |
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| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Computer science business.industry Power saving 02 engineering and technology General Medicine 021001 nanoscience & nanotechnology Machine learning computer.software_genre 01 natural sciences Power (physics) Mechanism (engineering) Work (electrical) Power consumption 0103 physical sciences Artificial intelligence 0210 nano-technology Energy source business computer |
| Zdroj: | Materials Today: Proceedings. 33:4819-4822 |
| ISSN: | 2214-7853 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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