A comprehensive survey on aquila optimizer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
Exploration of China's net CO2 emissions evolutionary pathways by 2060 in the context of carbon neutrality
W Li, S Zhang, C Lu - Science of The Total Environment, 2022 - Elsevier
In the context of global climate governance, as the biggest carbon emitter, China bears
momentous responsibility for mitigating emissions. Especially after the carbon neutrality …
momentous responsibility for mitigating emissions. Especially after the carbon neutrality …
Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance …
With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …
energy demands on modern electricity grids are also rising. In order to meet these demands …
A comprehensive review on stochastic optimal power flow problems and solution methodologies
The deregulation of the electricity market has been accompanied by the growing utilization
of unpredictable renewable energy sources (RESs) such as solar, wind, and hydropower …
of unpredictable renewable energy sources (RESs) such as solar, wind, and hydropower …
[HTML][HTML] Wind power prediction using random vector functional link network with capuchin search algorithm
MAA Al-qaness, AA Ewees, H Fan, L Abualigah… - Ain Shams Engineering …, 2023 - Elsevier
Wind power can be considered one of the most important green sources of electric power.
The prediction of wind power is necessary to boost the power grid operations' efficiency and …
The prediction of wind power is necessary to boost the power grid operations' efficiency and …
Wind power forecasting using optimized dendritic neural model based on seagull optimization algorithm and aquila optimizer
It is necessary to study different aspects of renewable energy generation, including wind
energy. Wind power is one of the most important green and renewable energy resources …
energy. Wind power is one of the most important green and renewable energy resources …
A novel optimal power flow model for efficient operation of hybrid power networks
In the power industry, the design of an efficient optimal power flow (OPF) model is one of the
important research challenges. This study presents the formulation and solution of the OPF …
important research challenges. This study presents the formulation and solution of the OPF …
Optimal power flow of hybrid wind/solar/thermal energy integrated power systems considering costs and emissions via a novel and efficient search optimization …
AS Alghamdi - Applied Sciences, 2023 - mdpi.com
The OPF problem has significant importance in a power system's operation, planning,
economic scheduling, and security. Today's electricity grid is rapidly evolving, with increased …
economic scheduling, and security. Today's electricity grid is rapidly evolving, with increased …
Design of aquila optimization heuristic for identification of control autoregressive systems
Swarm intelligence-based metaheuristic algorithms have attracted the attention of the
research community and have been exploited for effectively solving different optimization …
research community and have been exploited for effectively solving different optimization …
Profit maximization with imbalance cost improvement by solar PV-battery hybrid system in deregulated power market
The changeable nature of renewable sources creates difficulties in system security and
stability. Therefore, it is necessary to study system risk in several power system scenarios. In …
stability. Therefore, it is necessary to study system risk in several power system scenarios. In …