SMART HOME ENERGY MANAGEMENT USING ARTIFICIAL INTELLIGENCE

Authors

  • Chetna Radke 1Student, SVPCET, Department of EE;
  • Sharvari Pakmode Student, SVPCET, Department of EE;
  • Romit Mendhe Student, SVPCET, Department of EE;
  • Romit Mendhe Student, SVPCET, Department of EE;
  • Ayushi Punwatkar Student, SVPCET, Department of EE;
  • Yash Sattabhayya Student, SVPCET, Department of EE;

Keywords:

Home energy management, Artificial intelligence, renewable energy, solar energy

Abstract

Electrical energy is a vital for feature of any developing nation. To meet the growing demand, power generating plants of all types are being installed; though the gap between the supply and the demand is continuously increasing, due to the depletion of natural resources, hence, rise in power demand, the way to overcome the problem is optimal utilization of available energy sources, limiting the wastage of electrical energy which includes both technical and non-technical and limiting the demand during peak hours. In this project, a methodology is proposed to solve problem with load management during peak hours, in case of domestic loads aiming to reduce the gap between the demand and the supply, such that both consumer and supplier get benefited simultaneously. In our proposed project we are going to use AI technology which takes the decision like human brain. We are using the solar power as a renewable energy source to reduce the consumption from grid and to reduce energy bill. From sample of operating conditions AI will be trained and it will be tested for autonomous operation after training. The purpose of using this technology is to optimally utilize solar resource.

References

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Published

29-04-2023

How to Cite

Chetna Radke, Sharvari Pakmode, Romit Mendhe, Romit Mendhe, Ayushi Punwatkar, & Yash Sattabhayya. (2023). SMART HOME ENERGY MANAGEMENT USING ARTIFICIAL INTELLIGENCE. International Journal for Research Publication and Seminar, 14(3), 9–12. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/459

Issue

Section

Original Research Article