Recent Advances of Chimp Optimization Algorithm: Variants and Applications

MS Daoud, M Shehab, L Abualigah… - Journal of Bionic …, 2023 - Springer
Abstract Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm
intelligence methods. It has been widely tailored for a wide variety of optimization problems …

Hybrid forecasting models for wind-PV systems in diverse geographical locations: performance and power potential analysis

M Mansoor, AF Mirza, M Usman, Q Ling - Energy Conversion and …, 2023 - Elsevier
In order to combat the global warming, much stress is put on integrating non-conventional
energy resources, such as wind power plants and solar energy systems, into standard …

[HTML][HTML] Artificial intelligence and machine learning in energy conversion and management

K Mira, F Bugiotti, T Morosuk - Energies, 2023 - mdpi.com
In the modern era, where the global energy sector is transforming to meet the
decarbonization goal, cutting-edge information technology integration, artificial intelligence …

[HTML][HTML] Improved reptile search optimization algorithm: application on regression and classification problems

MK Khan, MH Zafar, S Rashid, M Mansoor… - Applied Sciences, 2023 - mdpi.com
The reptile search algorithm is a newly developed optimization technique that can efficiently
solve various optimization problems. However, while solving high-dimensional nonconvex …

Harmonics forecasting for wind and solar renewable energy resources-based electrical power systems

F Al Hadi - 2023 - dalspace.library.dal.ca
The practice of harmonics forecasting plays an integral role in the development of mitigation
devices aimed at lessening the adverse effects of harmonic disturbances in electrical …

The use of machine learning and performance concept to monitor and predict wind power output

KPB Sathler, A Kolios - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Monitoring and predicting wind power output more precisely can be very beneficial for an
increasingly competitive Wind Power industry. Although many advances have been made …

Optimized MPPT for Aero-generator System built on Autonomous Squirrel Cage Generators Using Feed-Forward Neural Network

O Fadi, A Abbou, H Mahmoudi, S Gaizen - International Journal of …, 2023 - ijrer.org
Abstract The research on Maximum Power Point Tracking (MPPT) techniques for wind
turbine installation (WTI) is an ongoing effort to improve the output power of wind systems. AI …

Hierarchical Data-driven Predictive Control Strategy for Energy Management of Electric Vehicles

B Chen, G He, F Zhou, H Huang… - 2023 IEEE Intl Conf on …, 2023 - ieeexplore.ieee.org
For electric vehicles (EVs) equipped with hybrid energy storage systems (HESS), a
challenge is reasonably distributing and optimizing load power. To optimize the …

[PDF][PDF] Hybrid multi-strategy chaos somersault foraging chimp optimization algorithm research

X Yang, Y Zhang, X Lv, H Yang, Z Sun… - Mathematical …, 2023 - aimspress.com
To address the problems of slow convergence speed and low accuracy of the chimp
optimization algorithm (ChOA), and to prevent falling into the local optimum, a chaos …

Short-term wind power prediction based on ICSA-BiLSTM

L Chen, J Li, Y Tao - Second International Conference on …, 2023 - spiedigitallibrary.org
In order to improve the accuracy of short-term wind power prediction, an improved
chameleon Swarm algorithm is proposed and applied to the wind power prediction model …