Water Resources Balanced Scheduling Method Using Particle Swarm Optimization for Future Smart Cities-Reference-Cited by-同舟云学术

Water Resources Balanced Scheduling Method Using Particle Swarm Optimization for Future Smart Cities

Published:2022-08-04 Issue:3 Volume:51 Page:20220050
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Li Pei¹,Zhang Hong²,Yue Yanbing²

Affiliation:

1. Information Engineering Department, Shanxi Conservancy Technical College, No. 34 Anyi Miaofeng West Rd., Yuncheng, Shanxi, China (Corresponding author), e-mail: sxsylp126126@126.com, https://orcid.org/0000-0003-1758-8747

2. Information Engineering Department, Shanxi Conservancy Technical College, No. 34 Anyi Miaofeng West Rd., Yuncheng, Shanxi, China

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference18 articles.

1. Comparative Analysis of Lunar Capture Braking Method Based on Particle Swarm Optimization;Bai;Aircraft Engineering and Aerospace Technology,2019

2. Research on Active Disturbance Rejection Control with Parameter Autotune Mechanism for Induction Motors Based on Adaptive Particle Swarm Optimization Algorithm with Dynamic Inertia Weight;Du;IEEE Transactions on Power Electronics,2018

3. Multi-objective Hydropower Station Operation Using an Improved Cuckoo Search Algorithm;Meng;Energy,2019

4. Two-Stage Stochastic Optimal Operation Model for Hydropower Station Based on the Approximate Utility Function of the Carryover Stage;Tan;Energy,2019

5. An Optimization Model for Water Management Based on Water Resources and Environmental Carrying Capacities: A Case Study of the Yinma River Basin, Northeast China;Meng;Water,2018

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4. Water Resources Balanced Scheduling Method Using Particle Swarm Optimization for Future Smart Cities;Journal of Testing and Evaluation;2022-08-04