Proceedings of the 4th International Conference on Power and Electrical Engineering

Icpee 2023, November 3-5, Singapore
Herausgegeben:Li, Jian

• Gebundenes Buch

Produktbeschreibung

This book features a collection of carefully selected papers that were presented at the 4th International Conference on Power and Electrical Engineering, ICPEE 2023. The conference was held in Singapore from November 3-5, 2023, and focused on the latest advancements and technologies in the field of power and electrical engineering. The papers included in this book highlight the need for sustainable and efficient energy sources, as well as the development of new technologies such as smart grids, renewable energy systems, and energy storage systems. They also address the challenges and opportunities faced by power and electrical engineers due to the increasing use of electric vehicles and the integration of renewable energy sources into power grids. The papers are authored by an international group of academics, research scientists, and industry experts, making the book valuable to a global audience in the field of power engineering.

Produktdetails

• Lecture Notes in Electrical Engineering 1149
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-1673-9
• 1st ed. 2024
• Seitenzahl: 374
• Erscheinungstermin: 29. Juni 2024
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819716739
• ISBN-10: 981971673X
• Artikelnr.: 69942255

Autorenporträt

Prof. Jian Li  received the B.Sc., M.Sc., and Ph.D. degrees in detection technology and automatic engineering from the University of Electronic Science and Technology of China (UESTC) in 2007, 2010, and 2014, respectively. In 2011-2013, he visited the Telerobotic and Biorobotic Systems Group of the University of Alberta as a visiting doctoral student supervised by Dr. Mahdi Tavakoli.  He is currently a professor at the UESTC. His current research and academic interests include power system analysis and control, renewable energy integration, and Big data.

Inhaltsangabe

Renewable Energy Power Forecast.- Renewable Energy System and Power Generation.- Renewable Energy Generation, New Power System and Emission Reduction.- Power Grid State Detection and Estimation.- Power System Planning and Dispatching.- Power System Analysis and Stability.- Power System Load Forecasting and Frequency Control.- Grid-Connected Renewable Energy System and Control.- Grid and Artificial Intelligence in Power System.- Smart Grid, Power System Planning and Control.- Integrated Energy System Planning and Energy Storage Technology.- Motor Design and Control.- Power Electronics and Control Technology.- Electric Vehicle Charging, Energy Consumption and Wireless Power Transmission.