We invite scientists, academicians, and researchers to present their findings, innovative designs, development applications, case studies, and reviews at the conference. Submissions should clearly articulate the objectives of the research, outline the methods used to achieve specific results, and highlight the significance of those findings in advancing the field. Full paper as per the LNEE format should be submitted to CMT.
Original Contributions are solicited on topics covered under broad areas such as (but not limited to):
| AI and Machine Learning in Energy Management and control |
| IoT for Smart Energy Systems |
| Advanced Power Electronics for Smart Grids |
| Integrated Circuit Design for Energy Efficiency |
| Computational imaging and signal processing |
| Renewable Energy & Energy Storage Systems |
| AI Applications to Power System Stability and Control |
| Integration of Electric Vehicles and Charging Infrastructure |
| Sustainable Materials for Renewable Energy Applications |
| Smart Battery Management for Renewable and Electric Vehicle Integration |
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.