TY - GEN
T1 - Artificial Intelligence Optimization of Load Scheduling with Economic Load Dispatch in Industrial Power Generating Units
AU - Priyanshu, Deepa
AU - Khan, Rubina Liyakat
AU - Matahen, Reem Khaled
AU - Ather, Danish
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The revolution of smart load scheduling using the optimization techniques plays a prominent role in the development in the industrial sector. This includes the load scheduling based upon the demand side management in the industrial sector with the economic load dispatch. The optimization technique plays a significant role in the effective load scheduling in the industrial sector. The amalgamation of new technologies with communication system helps in the improvement of the grid to make it smarter and effective. The demand side management is efficiently achieved through the innovation of smart grid in the network. Customer participation by actively reducing or fluctuating the loads from rush hours to non-rush hours with respect to the available power is done by DR schemes. Thus to obtain automatic scheduling of appliances artificial intelligence technique namely Genetic Algorithm is recommended in order to reduce the excessive wastage of power thus by using it efficiently in a smarter way in the industrial applications.
AB - The revolution of smart load scheduling using the optimization techniques plays a prominent role in the development in the industrial sector. This includes the load scheduling based upon the demand side management in the industrial sector with the economic load dispatch. The optimization technique plays a significant role in the effective load scheduling in the industrial sector. The amalgamation of new technologies with communication system helps in the improvement of the grid to make it smarter and effective. The demand side management is efficiently achieved through the innovation of smart grid in the network. Customer participation by actively reducing or fluctuating the loads from rush hours to non-rush hours with respect to the available power is done by DR schemes. Thus to obtain automatic scheduling of appliances artificial intelligence technique namely Genetic Algorithm is recommended in order to reduce the excessive wastage of power thus by using it efficiently in a smarter way in the industrial applications.
KW - communication system
KW - economic load dispatch
KW - genetic algorithm
KW - industrial sector
KW - Load scheduling
KW - optimization technique
UR - https://www.scopus.com/pages/publications/85149756631
U2 - 10.1109/SMART55829.2022.10046829
DO - 10.1109/SMART55829.2022.10046829
M3 - Conference contribution
AN - SCOPUS:85149756631
T3 - Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022
SP - 1127
EP - 1133
BT - Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022
A2 - Dwivedi, Rakesh Kumar
A2 - Saxena, Ashendra Kr.
A2 - Khan, Gulista
A2 - Bhardwaj, Shambhu
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022
Y2 - 16 December 2022 through 17 December 2022
ER -
