Economic emission and energy scheduling for renewable rich network using bio-inspired optimization

MW Tahir, G Abbas, MA Ilyas, N Ullah… - IEEE Access, 2022 - ieeexplore.ieee.org
This paper deals with the combined economic emission load dispatch (CEELD) problem
with and without the integration of renewable energy sources (RESs), in some more rational …

A hybrid quantum inspired particle swarm optimization and least square framework for real-time harmonic estimation

AB Waqas, Y Saifullah… - Journal of Modern Power …, 2020 - ieeexplore.ieee.org
The power quality is becoming an extensively addressing aspect of the power system
because of the sensitive operation of the smart grid, awareness of power quality, and the …

Optimization Study of Carbon Emissions in Wind Power Integrated Systems Based on Optimal Dispatch Algorithm

X Zhu, L Zhao - Environmental and Climate Technologies, 2024 - sciendo.com
With the integration of wind power into the power system, dispatch becomes more complex
and existing algorithms are no longer applicable. This paper focuses on optimizing carbon …

Improving the Speed of Machine Learning Algorithms using Bio-Inspired Techniques

AA Akinyelu - … Conference on Electrical, Computer and Energy …, 2021 - ieeexplore.ieee.org
Today, digital data is exploding at a breakneck speed. Traditional data analytics techniques,
unfortunately, are rapidly losing their capabilities and efficiencies when dealing with large …

A Novel Multi-Objective CMAES Algorithm for Economic Emission Dispatch Incorporating Wind and Solar Power Uncertainties

Q Niu, L Yu, M You - Proceedings of the 2021 10th International …, 2021 - dl.acm.org
To address the climate change challenges, the substantive pollutant emissions from
traditional thermal generation plants need to be significantly reduced, leading to increased …