Abstract
This paper studies some recent advances in the field of Smart Grid, including the application of some intelligent algorithms to optimize energy efficiency and energy collection, in order to have some impact on the green theme of Smart Grid under the intelligent system of the Internet of Things. For optimization in SG, evolutionary or heuristic algorithms play an important role. Cat Swarm Optimization (CSO), Emperor Penguin Optimization (EPO), Butterfly Mating Optimazation (BMO), Honey Bee Mating Optimization (HBMO) and many other algorithms have been applied to SG optimization, and more and more flexible, skilled and robust algorithms will be added to contribute to SG optimization in the future.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
