Improvement of Particle Swarm Optimization Algorithm and Its Application in Power Data Mining-Reference-Cited by-同舟云学术

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Improvement of Particle Swarm Optimization Algorithm and Its Application in Power Data Mining

Published:2023-08-18 Issue: Volume: Page:802-806
ISSN:
Container-title:2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)
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Author:

Hu Hongbin¹,Zhang Yifan¹,Han Junfei¹,Wang Yuqiang¹,Zhong Ming¹,He Qianjin²,Zhang Longlong²

Affiliation:

1. Inner Mongolia Power Research Institute,Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System,Hohhot,China

2. Inner Mongolia Tianda Tiancai Information Technology Co., Ltd.,Hohhot,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511267/10511091/10511877.pdf?arnumber=10511877

Reference15 articles.

1. Advances and bibliographic analysis of particle swarm optimization applications in electrical power system: concepts and variants

2. An advanced electrical vehicle charging station using adaptive hybrid particle swarm optimization intended for renewable energy system for simultaneous distributions

3. Beam-shaping technique for plasma magneto-electric dipole planar array based on time-modulation and particle swarm optimization

4. Combined analytic hierarchy process and binary particle swarm optimization for multiobjective plug-in electric vehicles charging coordination with time-of-use tariff

5. Optimal Charging Scheduling of Electric Vehicles in Micro Grids Using Priority Algorithms and Particle Swarm Optimization

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