Author(s)

Zhihua Cai ^1,2, Hui Wu ¹, Wei Li ¹

Affiliation(s)

¹ Hubei Vocational College of Bio-Technology, Wuhan, Hubei, 430070, China
² School of Computer Science, South-Central Minzu University, Wuhan, Hubei, 430074, China

Corresponding Author

Zhihua Cai

ABSTRACT

With the deepening application of digital twin technology in various fields, campus management has also ushered in a new change. This paper focuses on the research of intelligent scheduling and resource allocation algorithms in digital twin campus. First, the basic concept of digital twin technology and its application scenarios in campus are introduced. Second, a campus resource optimization model based on intelligent scheduling algorithm is proposed, and the scheduling efficiency and resource utilization are improved through multi-objective optimization and data-driven decision-making mechanism. In addition, allocation algorithms applicable to a wide range of campus resources are designed, and their automated applications in dynamic environments are explored. Through simulation and experimental verification, the algorithms proposed in this paper show significant advantages in improving the efficiency of campus resource management. Finally, this paper summarizes the research results and looks forward to the development direction of digital twin campus in the future.

KEYWORDS

Digital twin, Intelligent scheduling, Resource allocation, Algorithm optimization, Campus management, Data driven

CITE THIS PAPER

Zhihua Cai, Hui Wu, Wei Li, Smart Scheduling and Resource Allocation Algorithms in Digital Twin Campus. Journal of Electronics and Information Science (2024) Vol. 9: 169-176. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.0903221.

REFERENCES

[1] Tan B, Qian Y, Lu H,et al.Toward a Future Network Architecture for Intelligence Services: A Cyber Digital Twin-Based Approach[J].IEEE Network, 2022, 36(1):98-104.DOI:10.1109/MNET.021.2100174.
[2] Ricardez-Sandoval, More By Luis A. , et al. "Multiscale Physics-Informed Neural Network Framework to Capture Stochastic Thin-Film Deposition." The Journal of Physical Chemistry C 128.9(2024):3733-3750.
[3] Tsui K M, Chan S C .Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing[J].IEEE Transactions on Smart Grid, 2012, 3(4):1812-1821.DOI:10.1109/TSG.2012.2218835.
[4] Ma J, Chen H H, Song L,et al.Residential Load Scheduling in Smart Grid: A Cost Efficiency Perspective[J].IEEE Transactions on Smart Grid, 2016, 7(2):771-784.DOI:10.1109/TSG.2015.2419818.
[5] Hosseinimotlagh S, Khunjush F, Samadzadeh R .SEATS: smart energy-aware task scheduling in real-time cloud computing [J].The Journal of Supercomputing, 2015, 71(1):45-66.DOI:10.1007/s11227-014-1276-9.
[6] Soroudi A .Smart self-scheduling of Gencos with thermal and energy storage units under price uncertainty[J]. International Transactions on Electrical Energy Systems, 2015, 24(10):1401-1418.DOI:10.1002/etep.1780.
[7] Saggi M K, Jain S .A Survey Towards Decision Support System on Smart Irrigation Scheduling Using Machine Learning approaches[J].Archives of Computational Methods in Engineering, 2022, 29(6):4455-4478.DOI:10. 1007/s 11831-022-09746-3.
[8] Gao J, Xiao Y, Li S .A Deferrable Energy Scheduling Algorithm in Smart Grid Distribution[J].Mobile Networks & Applications, 2018, 23(4):896-911.
[9] Joe-Wong C, Sen S, Ha S,et al.Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility[J].IEEE Journal on Selected Areas in Communications, 2012, 30(6):1075-1085.DOI:10. 1109/ JSAC. 2012.120706.
[10] Tasdighi M, Ghasemi H, Rahimi-Kian A .Residential Microgrid Scheduling Based on Smart Meters Data and Temperature Dependent Thermal Load Modeling[J].IEEE Transactions on Smart Grid, 2014, 5(1):349-357.DOI:10.1109/TSG.2013.2261829.
[11] Jo H C, Kim S, Joo S K .Smart heating and air conditioning scheduling method incorporating customer convenience for home energy management system[J].IEEE Transactions on Consumer Electronics, 2013, 59(2):316-322.DOI:10.1109/TCE.2013.6531112.
[12] Gharavi H, Xu C .Traffic Scheduling Technique for Smart Grid Advanced Metering Applications[J].IEEE Transactions on Communications, 2012, 60(6):1646-1658.DOI:10.1109/TCOMM.2012.12.100620.

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