Multi-Objective Optimization Algorithm Based Bidirectional Long Short Term Memory Network Model for Optimum Sizing of Distributed Generators and Shunt Capacitors for Distribution Systems

Multi-Objective Optimization Algorithm Based Bidirectional Long Short Term Memory Network Model for Optimum Sizing of Distributed Generators and Shunt Capacitors for Distribution Systems

In this paper, a multi-objective grey wolf optimization (GWO) algorithm based Bidirectional Long Short Term Memory (BiLSTM) network machine learning (ML) model is proposed for finding the optimum sizing of distributed generators (DGs) and shunt capacitors (SHCs) to enhance the performance of distrib...

Full description

Saved in:
Bibliographic Details
Main Authors: Amarendra Alluri, Srinivasa Rao Gampa, Balaji Gutta, Mahesh Babu Basam, Kiran Jasthi, Nibir Baran Roy, Debapriya Das
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Inventions
Subjects:
distributed generators
shunt capacitors
machine learning
grey wolf optimization
BiLSTM model
multi-objective optimization
Online Access:https://www.mdpi.com/2411-5134/9/6/114
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2411-5134/9/6/114

Similar Items