Study of Socio-Economic Aspects of Sustainability and Influence of Human Behavior in Efficient Energy Usage Using Machine Learning
Energy sustainability is a critical global concern, and understanding the intricate relationship between social factors and human behavior in the context of efficient energy usage is essential for devising effective energy conservation strategies. Machine learning techniques provide an innovative approach to gain insights from vast datasets and develop predictive models that can guide policy and behavior change interventions. The outcomes of this research will contribute valuable insights and recommendations to promote efficient energy usage and support sustainability efforts. This research will guide policy decisions and foster positive changes in individual and community behavior towards sustainable energy practices.
Name of staff and students from Amrita
- Dr. Maneesha V Ramesh, Director and Professor, Amrita Center for Wireless Network & Application,
- Dr. Muralee Krishnan C, Associate Professor, Amrita School of Business, Coimbatore
- Dr. Rahul Krishnan, Assistant Professor, Amrita Center for Wireless Network & Application
- Dr. M R Kaimal – Professor, School of Computing, Amritapuri
Name of the International Collaborators : Dr. Emitza Guzman Ortega, Assistant Professor, Faculty of Science, Software and Sustainability (S2), Assistant Professor, Network Institute Assistant Professor, Information Management & Software Engineering
