Results 61 to 70 of about 352 (161)

Large‐scale system identification using self‐adaptive penguin search algorithm

IET Control Theory & Applications, 2023
From an engineering point of view, non‐linear systems are essential to the operation of control systems, because all systems actually have a non‐linear state in nature.
Karthikeyan Udaichi, Ravi Chinaveer Nagappan, Miguel Garcia‐Torres, Parameshchari Bidare Divakarachari, Shankar Nayak Bhukya   +4 more
doaj   +1 more source

Advanced Parameter Identification in Electric Vehicles Lithium‐Ion Batteries With Marine Predators Algorithm‐Based Optimization

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
Accurate parameter identification of lithium‐ion (Li‐ion) battery models is critical for understanding battery behavior and optimizing performance in electric vehicle (EV) applications. Traditional methods often rely on manual adjustments or trial‐and‐error processes, leading to inefficiencies and suboptimal outcomes.
Houssam Eddine Ghadbane, Hegazy Rezk, Hesham Alhumade, Olubayo Babatunde   +3 more
wiley   +1 more source

Research on optimal operation of novel micro-grid under dual-carbon target

Diance yu yibiao
The optimal operation of micro-grid can provide a strong guarantee for the efficient utilization of distributed power and renewable energy. In order to solve the problem of optimal operation of micro-grid with a large proportion of distributed power ...
QIN Changmin, MA Zhaoxing, CHEN Hao, QIAN Baoshan   +3 more
doaj   +1 more source

Short‐Term Wind Power Prediction Based on MVMD‐AVOA‐CNN‐LSTM‐AM

International Transactions on Electrical Energy Systems, Volume 2025, Issue 1, 2025.
Due to the intermittent and fluctuating nature of wind power generation, it is difficult to achieve the desired prediction accuracy for wind power prediction. For this reason, this paper proposes a combined prediction model based on the Pearson correlation coefficient method, multivariate variational mode decomposition (MVMD), African vultures ...
Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai, Jianwu Zeng   +4 more
wiley   +1 more source

Peak Load Truncation From Consumer End: A Small‐Scale Implementation for Home Energy Management System

Journal of Sensors, Volume 2025, Issue 1, 2025.
This work proposed a home energy management system (HEMS) model to optimize energy usage in the residential sector to minimize the peak load demand on the central grid by incorporating several energy‐saving methods and integrating renewable energy sources.
Md. Shahidur Rahman, S. M. Al-Amin Shohag, Sobia Siddiqui, Prapty Mozumder, Joy Saha, Md. Shahjalal, Pramita Mishra   +6 more
wiley   +1 more source

Improved Sparrow Search Algorithm for Sparse Array Optimization

Modelling and Simulation in Engineering, Volume 2025, Issue 1, 2025.
The synthesis problem of the number of array elements, array element spacing, and array formation is widely concerned in sparse array optimization. The local optimum problem is still an urgent problem to be solved in the existing optimization algorithms.
Juanjuan Ji, Jie Su, Lanfang Zhang, Liuying Zhang, Julang Jiang, Hongliang Ma, Suhaib Batt   +6 more
wiley   +1 more source

Research on Intrusion Detection Based on an Enhanced Random Forest Algorithm

Applied Sciences
To address the challenges posed by high data dimensionality and class imbalance during intrusion detection, which result in increased computational complexity, resource consumption, and reduced classification accuracy, this paper presents an intrusion ...
Caiwu Lu, Yunxiang Cao, Zebin Wang
doaj   +1 more source

Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance

Scientific Reports
Metaheuristic algorithms play a vital role in addressing a wide range of real-world problems by overcoming hardware and computational constraints. The Chameleon Swarm Algorithm (CSA) is a modern metaheuristic algorithm that uses how chameleons act.
Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai   +9 more
doaj   +1 more source

Dual Feature-Based Intrusion Detection System for IoT Network Security

International Journal of Computational Intelligence Systems
The Internet of Things (IoT) has enabled widespread connectivity of smart devices but remains susceptible to cyber intrusions. In this research, a novel dual feature optimization using deep learning network for intrusion Detection (FOUND) technique has ...
A. Biju, S. Wilfred Franklin
doaj   +1 more source

A Novel Fault Diagnosis of Induction Motor by Using Various Soft Computation Techniques: BESO-RDFA

IEEE Open Access Journal of Power and Energy
This paper presents a hybrid prediction technique for fault detection of induction machines. The established hybrid forecast scheme signifies the combined execution of Bald-Eagle- Search-Optimization (BESO) and Random-Decision-Forest-Algorithm (RDFA ...
Kapu V. Sri Ram Prasad, K. Dhananjay Rao, Guruvulu Naidu Ponnada, Umit Cali, Taha Selim Ustun   +4 more
doaj   +1 more source