Open AccessInternet-of-Things-Assisted Smart Grid Applications in Industry 4.0
Author(s) -
Jinglei Su,
Xue Chu,
Ming Chen,
Seifedine Kadry
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/621/1/012056
Subject(s) - computer science , smart grid , heuristic , the internet , swarm behaviour , metaheuristic , field (mathematics) , grid , optimization problem , distributed computing , mathematical optimization , artificial intelligence , engineering , algorithm , world wide web , mathematics , electrical engineering , geometry , pure mathematics
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.