Efficient Buildings - A Key Element to Build Smart Cities

Authors

  • Shalini Koyikkal  Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, India
  • Anurag Rajshekar  Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, India

Keywords:

Smart Cities, Harvesting, Artificial Intelligence, Machine Learning

Abstract

The use of AI and ML plays a pivotal role in optimizing work flow and productivity and also being cost effective for companies. Artificial intelligence and machine learning can be used to do work that consumes an employee’s time that could be used to work productively and focus on higher value work. AI can be used to extract new data and analyze the market for improved business outcomes. It has been statistically proven that using this technology has provided a competitive edge on the business forefront. Security can be heightened and be made safer with the use of fraud detection methods which results in a safer working environment, further providing comfort to the company’s employees. Companies will be able to smartly power machinery, vehicles, structures and enhance customer intimacy therefore increasing customer demand. Understanding customer behavior, wants and needs plays a crucial role in what a company’s next move should be and this can be improved using artificial intelligence services

References

  1. https://bosscontrols.com/power-building-automation-system/
  2. https://www.indiawaterportal.org/topics/rainwater-harvesting?page=7
  3. https://cleantechies.com/2015/07/08/piezoelectric-flooring-harvesting-energy-using-footsteps/

Downloads

Published

2019-12-30

Issue

Section

Research Articles

How to Cite

[1]
Shalini Koyikkal, Anurag Rajshekar, " Efficient Buildings - A Key Element to Build Smart Cities" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 9, pp.451-455, November-December-2019.