Results 61 to 70 of about 2,430 (215)

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +1 more source

Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

Mathematics, 2020
In the recent era, the need for modern smart grid system leads to the selection of optimized analysis and planning for power generation and management. Renewable sources like wind energy play a vital role to support the modern smart grid system. However,
Krishan Arora, Ashok Kumar, Vikram Kumar Kamboj, Deepak Prashar, Sudan Jha, Bhanu Shrestha, Gyanendra Prasad Joshi   +6 more
doaj   +1 more source

A Novel Neuroevolutionary Paradigm for Solving Strongly Nonlinear Singular Boundary Value Problems in Physiology

IEEE Access, 2022
In the present research work, we designed a hybrid stochastic numerical solver to investigate nonlinear singular two-point boundary value problems with Neumann and Robin boundary conditions arising in various physical models.
Jiayi Guo, Adnan Khan, Muhammad Sulaiman, Poom Kumam   +3 more
doaj   +1 more source

Enhanced Dung Beetle Optimization Algorithm Combined Harris Hawks Optimizer and Nelder Mead Simplex Method for Solar-Connected Smart-grid Application [PDF]

The Dung Beetle Optimization algorithm (DBO) is a swarm-based intelligence algorithm with competitive performance against other popular optimization algorithms.
Anh, Ho Pham Huy, Vy, Huynh Tuyet
core   +2 more sources

Optimal Placement and Sizing Problem for Power Loss Minimization and Voltage Profile Improvement of Distribution Networks under Seasonal Loads Using Harris Hawks Optimizer [PDF]

, 2022
Improving efficiency with sustainable radial distribution networks (RDNs) is challenging for larger systems and small grid-connected RDNs. In this paper, the optimal placement of DGs with the Harris hawks optimizer (HHO) under seasonal load demands is ...
Elmorshedy, Mahmoud F., Habib, Habib Ur Rahman, Ismail, Moustafa Magdi, Junejo, Abdul Khalique, Khan, Sheheryar, Kim, Yun-Su, Sohail, Sharoze, Waqar, Asad   +7 more
core   +1 more source

Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization

Mathematics, 2022
The Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the diversity of standard HHO, alleviates the problem of stagnation of local optimal solutions, and improves the ...
Tingting Zou, Changyu Wang
openaire   +2 more sources

GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler, Roberto Souza, Ashley D. Harris   +2 more
wiley   +1 more source

Metaheuristics-based maximum power point tracking for PV systems: a review [PDF]

, 2023
Over the years, numerous maximum power point tracking (MPPT) methods have been developed to extract the maximum available power from PV arrays. They are generally categorized as conventional or metaheuristic methods.
Abidin, Ahmad Farid Bin, Hashim, Norazlan, Jamhari, Muhammad Khairul Azman Mohd, Othman, Muhammad Murtadha   +3 more
core   +2 more sources

Lures do not increase box‐trapping success of an endangered felid in South Texas

Wildlife Society Bulletin, EarlyView.
We used a randomized design and linear regression to assess whether visual (compact disc [CD] and ribbon), and olfactory (musk and ocelot urine) lures would increase capture success of three mesocarnivores (ocelots [Leopardus pardalis], bobcats [Lynx rufus], and coyotes [Canis latrans]) with box traps baited with a live bird from December 2023 to April
Ashley M. Reeves, Landon R. Schofield, Alynn M. Martin, Aidan B. Branney, Lindsay A. Martinez, Georgia Harris, Meghan Murphy, Jason E. Sawyer   +7 more
wiley   +1 more source

Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer

IEEE Access, 2020
This study aims to propose an effective intelligent model for predicting entrepreneurial intention, which can provide a reasonable reference for the formulation of talent training programs and the guidance of entrepreneurial intention of students.
Yan Wei, Huijing Lv, Mengxiang Chen, Mingjing Wang, Ali Asghar Heidari, Huiling Chen, Chengye Li   +6 more
doaj   +1 more source