Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model

Multi-Objective Stochastic Paint Optimizer for Solving Dynamic Economic Emission Dispatch with Transmission Loss Prediction Using Random Forest Machine Learning Model

Dynamic economic emission dispatch problems are complex optimization tasks in power systems that aim to simultaneously minimize both fuel costs and pollutant emissions while satisfying various system constraints. Traditional methods often involve solving intricate nonlinear load flow equations or em...

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Bibliographic Details
Main Authors: Arunachalam Sundaram, Nasser S. Alkhaldi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
air pollution
metaheuristics
pollution control
pareto optimal solutions
power generation economics
power generation dispatch
Online Access:https://www.mdpi.com/1996-1073/17/4/860

Internet

https://www.mdpi.com/1996-1073/17/4/860

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