Results 41 to 50 of about 531 (158)

Marine diesel engine piston ring fault diagnosis based on LSTM and improved beluga whale optimization

Alexandria Engineering Journal
The operational state of piston rings in marine diesel engines significantly influences the overall performance of the machinery. However, traditional data-driven diagnosis methods have problems with relying on manual feature extraction and failing to ...
Bingwu Gao, Jing Xu, Zhenrui Zhang, Yanxin Liu, Xiaonan Chang   +4 more
doaj   +1 more source

Frequency Regulation in Interconnected Power System Through Enhanced Beluga Whale Optimized Flatness-Based Active Disturbance Rejection Control

IEEE Access
Ever-increasing dynamic surges in renewable-based electric power systems, notably wind and photovoltaic farms bring adverse impacts and challenges in terms of reliability and stability.
Shahzad Ali, Yuanqing Xia, Zohaib Ahmad Khan, Abid Ali, Qamar Navid, Khursheed Aurangzeb, Muhammad Shahid Anwar   +6 more
doaj   +1 more source

Short‐ and Long‐Term Load Forecasting Using VMD With Temporal Dual Learners Network: A Case Study in Kuwait

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Forecasting the demand for electrical load precisely is essential for the steady and energy‐efficient operation of today’s power systems, especially in places where there is much variability in demand. In this study, we propose a novel hybrid deep learning framework, termed variational mode decomposition with temporal dual learners network (VMD‐TDLNet),
Maha Alqallaf, Nour Hameed Hasan, Dina Alostath, Salman Zakareya, Özgür Ömer Ersin   +4 more
wiley   +1 more source

High-Accuracy Photovoltaic Power Prediction under Varying Meteorological Conditions: Enhanced and Improved Beluga Whale Optimization Extreme Learning Machine

Energies
Accurate photovoltaic (PV) power prediction plays a crucial role in promoting energy structure transformation and reducing greenhouse gas emissions. This study aims to improve the accuracy of PV power generation prediction. Extreme learning machine (ELM)
Wei Du, Shi-Tao Peng, Pei-Sen Wu, Ming-Lang Tseng   +3 more
doaj   +1 more source

Energy Consumption Prediction Based on PSO–LSTM: A Case Study for a Hospital Heating System

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Global climate change is closely related to the continuous growth of building energy consumption. Therefore, studying and reducing building energy consumption is of great significance for improving the global energy consumption situation. Hospitals, as high‐energy‐consuming public buildings, require urgent research on energy conservation and reduction.
Yu Liu, Jinliang Wang, Yinan Zhao, Chao Deng, Xing Yuan, Siyuan Tian, Weixiang Gao, Chika Maduabuchi   +7 more
wiley   +1 more source

Year‐Long Robust DG Allocation and Probability‐Based Battery Scheduling in Uncertain Hybrid Renewable Energy System Using GO and BRO Algorithms

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
Escalating load demand at the distribution level necessitates the incorporation of distributed generators (DGs) into power systems. Consequently, the utilization of DGs into power systems based on renewable energy has become a primary approach in the pursuit of affordable and sustainable energy supply.
Asad Abbas, Intisar Ali Sajjad, Jonghoon Kim, Dhanamjayulu C.   +3 more
wiley   +1 more source

A Multistrategy Improved Archimedes Optimization Algorithm for Solving Engineering Problems

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Given the shortcomings of the Archimedes optimization algorithm (AOA), the traditional AOA exhibits the following limitations: the initialization phase employs a uniform 0‐1 random number distribution to generate sequences, resulting in limited diversity of initial solutions.
Xiaoping Xu, Yajing Cao, Wenbo Li, Yu Zhang, Feng Wang, Yike Li, Pramita Mishra   +6 more
wiley   +1 more source

Distributed Hybrid Flowline Rescheduling Based on Improved Gray Wolf Optimization Algorithm [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
Distributed hybrid flowline rescheduling was investigated considering machine breakdown and transportation time constraints. An integer programming model was constructed with the optimization objective of simultaneously minimizing the maximum ...
XUAN Hua, XIONG Mengying, CAO Ying
doaj   +1 more source

Improved beluga whale algorithm to optimize the multi-parameters of Fuzzy-PID controller for the rotation speed control system in crayfish unmanned feeding ship's feeding structure

The relevant data and program of Fuzzy-PID control system optimization for feeding speed of shrimp pond feeding vessel equipment are presented.The simulation outcomes revealed that the Fuzzy-PID controller, which were optimized by the improved BWO ...
何, 宇 (via Mendeley Data)
core   +1 more source

Dental Ageing Offers New Insights Into the First Epigenetic Clock for Common Dolphins (Delphinus delphis)

Ecology and Evolution, Volume 15, Issue 11, November 2025.
We present the first species‐specific epigenetic clock for common dolphins (Delphinus delphis), calibrated using dental ages from stranded and bycaught individuals. Despite concerns about dental ageing accuracy, our models showed strong performance and were unaffected by decomposition, supporting the use of post‐mortem samples for epigenetic clock ...
Eva‐Maria F. Hanninger, Katharina J. Peters, Livia Gerber, Ashley Barratclough, Emma L. Betty, Emily I. Palmer, Steve Horvath, Karen A. Stockin   +7 more
wiley   +1 more source