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A comparative study of existing machine learning approaches for Parkinson's disease detection
Parkinson's disease (PD) has affected millions of people worldwide and is more prevalent in
people, over the age of 50. Even today, with many technologies and advancements, early …
people, over the age of 50. Even today, with many technologies and advancements, early …
A holistic review on optimization strategies for combined economic emission dispatch problem
Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …
various reasons, the reserves of fossil fuels are declining and will become too expensive in …
Improving the economic and environmental benefits of the energy system: A novel hybrid economic emission dispatch considering clean energy power uncertainty
ZF Liu, SX Zhao, SL Zhao, GD You, XX Hou, JL Yu… - Energy, 2023 - Elsevier
New energy power generation plays an important role in adjusting energy structure,
reducing environmental pollution, and promoting sustainable social development. However …
reducing environmental pollution, and promoting sustainable social development. However …
Combined economic and emission power dispatch problems through multi-objective squirrel search algorithm
Over the years, due to the increasing deterioration of environmental problems, combined
economic and environmental power dispatch has become one of the active research areas …
economic and environmental power dispatch has become one of the active research areas …
Multi-objective energy management of multiple microgrids under random electric vehicle charging
In view of the increasing development of decentralized power systems and electric vehicles,
this paper seeks to improve the energy management performance of multiple microgrid …
this paper seeks to improve the energy management performance of multiple microgrid …
Stochastic multi-objective dynamic dispatch of renewable and CHP-based islanded microgrids
Micro-grids (MGs) are practical solutions for integrating distributed energy resources (DERs)
in order to supply electrical and heat demands. In this study, a stochastic model for optimal …
in order to supply electrical and heat demands. In this study, a stochastic model for optimal …
Probability distribution arithmetic optimization algorithm based on variable order penalty functions to solve combined economic emission dispatch problem
WK Hao, JS Wang, XD Li, HM Song, YY Bao - Applied Energy, 2022 - Elsevier
The optimization objective of combined economic emission dispatch (CEED) problem is to
minimize the total cost of power generation and the emission of harmful gases under the …
minimize the total cost of power generation and the emission of harmful gases under the …
[HTML][HTML] combined economic emission dispatch with and without consideration of PV and wind energy by using various optimization techniques: A review
Combined economic emission dispatch (CEED) problems are among the most crucial
problems in electrical power systems. The purpose of the CEED is to plan the outputs of all …
problems in electrical power systems. The purpose of the CEED is to plan the outputs of all …
A modified artificial bee colony algorithm based on a non-dominated sorting genetic approach for combined economic-emission load dispatch problem
The multi-objective optimization algorithms (MOO) are used to obtain the best compromising
solutions when two or more objective functions need to be optimized simultaneously. The …
solutions when two or more objective functions need to be optimized simultaneously. The …
A quantum‐inspired particle swarm optimization approach for environmental/economic power dispatch problem using cubic criterion function
In electrical power dispatch problem, economic dispatch (ED) and environmental dispatch
problems play a crucial part. Economic dispatch problem refers to the minimization of …
problems play a crucial part. Economic dispatch problem refers to the minimization of …