文部科学省大学間連携共同教育推進事業「未来像を自ら描く電気エネルギー分野における実践的人材の育成」
Optimal electrical power management using AI system for future engineering [12月1日（金）福岡工業大学]
2023/08/20
【科目種別】電気エネルギーシステム工学特論Ⅱ（英語科目）
■講師：Dr. Adi Izhar Che Ani 先生
（ご所属）Universiti Teknologi MARA (UiTM) Penang Branch
■演題：Optimal electrical power management using AI system for future engineering
■日時：令和5年12月1日（金）16：20 〜 17：50
■場所：A棟A33教室(対面とZoomのハイブリッド講義)
■主催：福岡工業大学大学院
■共催：大学間連携共同教育プログラム
■申込/お問合せ：福岡工業大学大学院事務室
電話：092-606-6996 E-mail：master@fit.ac.jp
■概要：Within the dynamic field of engineering, characterized by perpetual change, there has never been a greater need for inventive approaches to resolving the complexities associated with power management. This presentation provides an in-depth analysis of state-of-the-art Artificial Intelligence (AI) methods utilized in the management of electrical power. It accomplishes this by integrating theoretical understandings with real-world implementations and concrete results. The investigation examines the utilization of cutting-edge artificial intelligence (AI) algorithms in practice. Scholars employ sophisticated machine learning methods such as modified simulated annealing, genetic algorithms (GA), and modified particle swarm algorithms (MPSO). These advanced methodologies are crucial in the optimization of diverse aspects of electrical power systems. Effectiveness that has been demonstrated extends to a wide range of challenges, including the complex reconfiguration of distribution networks, loss reduction, and load balancing. The strategic implementation of these AI techniques for predictive maintenance, real-time monitoring, and adaptive control in power grids is a central topic of discourse. By means of compelling case studies and tangible illustrations, participants will acquire a sophisticated comprehension of the ways in which these cutting-edge AI methodologies substantially augment efficiency, bolster dependability, and promote sustainable practices in a variety of power system scenarios. Designed specifically for engineers, researchers, and professionals in search of practical insights and theoretical understanding, this presentation not only reveals the revolutionary capabilities of artificial intelligence in the domain of electrical power management but also illuminates the cutting-edge methodologies driving advancements in the sector. Its objective is to provide attendees with the knowledge and skills necessary to navigate the complex realm of power systems, enabling them to make valuable contributions towards a more intelligent and resilient future.
■学生の関わり様
講義後記入。
■講師：Dr. Adi Izhar Che Ani 先生
（ご所属）Universiti Teknologi MARA (UiTM) Penang Branch
■演題：Optimal electrical power management using AI system for future engineering
■日時：令和5年12月1日（金）16：20 〜 17：50
■場所：A棟A33教室(対面とZoomのハイブリッド講義)
■主催：福岡工業大学大学院
■共催：大学間連携共同教育プログラム
■申込/お問合せ：福岡工業大学大学院事務室
電話：092-606-6996 E-mail：master@fit.ac.jp
■概要：Within the dynamic field of engineering, characterized by perpetual change, there has never been a greater need for inventive approaches to resolving the complexities associated with power management. This presentation provides an in-depth analysis of state-of-the-art Artificial Intelligence (AI) methods utilized in the management of electrical power. It accomplishes this by integrating theoretical understandings with real-world implementations and concrete results. The investigation examines the utilization of cutting-edge artificial intelligence (AI) algorithms in practice. Scholars employ sophisticated machine learning methods such as modified simulated annealing, genetic algorithms (GA), and modified particle swarm algorithms (MPSO). These advanced methodologies are crucial in the optimization of diverse aspects of electrical power systems. Effectiveness that has been demonstrated extends to a wide range of challenges, including the complex reconfiguration of distribution networks, loss reduction, and load balancing. The strategic implementation of these AI techniques for predictive maintenance, real-time monitoring, and adaptive control in power grids is a central topic of discourse. By means of compelling case studies and tangible illustrations, participants will acquire a sophisticated comprehension of the ways in which these cutting-edge AI methodologies substantially augment efficiency, bolster dependability, and promote sustainable practices in a variety of power system scenarios. Designed specifically for engineers, researchers, and professionals in search of practical insights and theoretical understanding, this presentation not only reveals the revolutionary capabilities of artificial intelligence in the domain of electrical power management but also illuminates the cutting-edge methodologies driving advancements in the sector. Its objective is to provide attendees with the knowledge and skills necessary to navigate the complex realm of power systems, enabling them to make valuable contributions towards a more intelligent and resilient future.
■学生の関わり様
講義後記入。
