Real-Time LFO Damping Enhancement in Electric Networks Employing PSO Optimized ANFIS
In recent years, machine learning (ML) tools have gained tremendous momentum and received wide-spread attention in different segments of modern-day life. As part of digital transformation, the power system industry is one of the pioneers in adopting such attractive and efficient tools for various ap...
Main Authors: | Md Ilius Hasan Pathan, Md Juel Rana, Mohammad Shoaib Shahriar, Md Shafiullah, Md. Hasan Zahir, Amjad Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
|
Series: | Inventions |
Subjects: | |
Online Access: | https://www.mdpi.com/2411-5134/5/4/61 |
Similar Items
-
Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors
by: Mohammad Ehteram, et al.
Published: (2019-05-01) -
PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent
by: Sohrab Fathi, et al.
Published: (2019-12-01) -
Modeling and unified tuning of distributed power flow controller for damping of power system oscillations
by: Amin Safari, et al.
Published: (2013-12-01) -
Inflation rate modeling: Adaptive neuro-fuzzy inference system approach and particle swarm optimization algorithm (ANFIS-PSO)
by: Fateme Nazari Robati, et al.
Published: (2020-01-01) -
Short-Term Electric Power Forecasting Using Dual-Stage Hierarchical Wavelet- Particle Swarm Optimization- Adaptive Neuro-Fuzzy Inference System PSO-ANFIS Approach Based On Climate Change
by: Samuel Atuahene, et al.
Published: (2018-10-01)