Application of modified beetle antennae search algorithm and BP power flow prediction model on multi-objective optimal active power dispatch-Reference-Cited by-同舟云学术

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Application of modified beetle antennae search algorithm and BP power flow prediction model on multi-objective optimal active power dispatch

Published:2021-12 Issue: Volume:113 Page:108027
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Qian Jie,Wang Ping,Pu Chenggen^ORCID,Peng Xiaoli,Chen Gonggui

Publisher

Elsevier BV

Subject

Software

Reference51 articles.

1. Second-order cone programming for solving unit commitment strategy of thermal generators;Yuan;Energy Convers. Manage.,2013

2. A simplified competitive swarm optimizer for parameter identification of solid oxide fuel cells;Xiong;Energy Convers. Manage.,2020

3. Parameter identification of chaotic and hyper-chaotic systems using synchronization-based parameter observer;Chen;IEEE Trans. Circuits Sys. I-Regul. Pap.,2016

4. Multi-strategy ensemble biogeography-based optimization for economic dispatch problems;Xiong;Appl. Energy,2013

5. An efficient chaos embedded hybrid approach for hydro-thermal unit commitment problem;Yuan;Energy Convers. Manage.,2015

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2. A comprehensive survey of convergence analysis of beetle antennae search algorithm and its applications;Artificial Intelligence Review;2024-05-15

3. Multi Criteria Frameworks Using New Meta-Heuristic Optimization Techniques for Solving Multi-Objective Optimal Power Flow Problems;Energies;2024-05-04

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