International Conference on Electrical Energy Conversion and Control (ICEECC - 26)

This track focuses on the latest innovations in power electronics technologies, including converters, inverters, and control strategies. Researchers are invited to present their findings on efficiency improvements and novel applications in various sectors.

This session explores the design and implementation of advanced motor drives and their control systems. Contributions that address challenges in performance optimization and reliability are particularly encouraged.

This track aims to discuss methodologies for optimizing energy consumption across various applications. Papers that present novel algorithms and case studies demonstrating energy savings are welcome.

This session will cover the development and application of energy management systems in industrial and commercial settings. Contributions that highlight integration with smart grid technologies are particularly sought after.

This track focuses on the latest advancements in energy storage technologies, including batteries, supercapacitors, and flywheels. Researchers are encouraged to present their work on performance analysis and integration with renewable energy sources.

This session invites contributions that utilize computational modeling techniques to solve complex problems in electrical and electronics engineering. Topics may include simulations of electrical systems, predictive maintenance, and reliability assessments.

This track addresses the challenges and solutions associated with integrating renewable energy sources into smart grid systems. Papers discussing grid stability, energy forecasting, and policy implications are encouraged.

This session focuses on the performance evaluation of various electrical machines, including motors and generators. Contributions that explore efficiency, reliability, and innovative testing methods are welcome.

This track examines strategies for enhancing energy efficiency in mechanical systems, particularly in conjunction with electrical components. Papers that present experimental results and theoretical analyses are encouraged.

This session explores predictive maintenance strategies aimed at improving the reliability of electrical systems. Contributions that utilize data analytics and machine learning techniques are particularly sought after.

This track discusses the evolving landscape of energy policy and its impact on electrical engineering practices. Researchers are invited to analyze regulatory frameworks and their implications for energy management and sustainability.