Results 31 to 40 of about 207 (112)

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

Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms

Alexandria Engineering Journal, 2023
Integration of renewable energy systems can provide reliable, environmentally sustainable, and cost-effective alternatives for meeting the demand for electricity in remote locations.
M. Thirunavukkarasu, Himadri Lala, Yashwant Sawle   +2 more
doaj   +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

Optimal Control Strategy for Stability Performance Improvement of Hybrid Power Systems With Electric Vehicle Integration

Energy Science &Engineering, Volume 13, Issue 6, Page 2772-2787, June 2025.
ABSTRACT The present article explores the frequency control of hybrid power systems integrated with electric vehicles (EVs). The hybrid power system is a complicated nonlinear entity that highlights the significant issue of dynamic control owing to inadequate damping under fluctuating load conditions.
Zahid Farooq, Shameem Ahmad Lone, Taha Selim Ustun, Asadur Rahman, Ahmet Onen, Cagil Ozansoy   +5 more
wiley   +1 more source

A hybrid optimization approach to evaluating load capacity in distribution networks with new energy and energy storage integration

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
This paper explored the impact of new energy and energy storage integration into distribution network load‐carrying capacity and proposed a method for evaluating the load‐carrying capacity of the distribution networks by improving GA‐BWO with voltage adaptive control.
Longtian Zhang, Delin Wang, Jun Wang, Muhammad Shahid Mastoi, Zelin He, Mannan Hassan   +5 more
wiley   +1 more source

Enhanced Beluga Whale Optimization (EBWO) for Joint Inversion of Seismic Refraction and Surface Wave Dispersion Data

Contributions to Geophysics and Geodesy
Seismic methods constitute indispensable tools for characterizing subsurface structures in near-surface geophysical investigations. To address the inherent challenges associated with the joint inversion of Rayleigh wave dispersion curves and seismic ...
Fengjun Wu, Xinai XU, Kerong HE, Gang LI, Zhenlin LEI   +4 more
doaj   +1 more source

Optimum Allocation of Service Transformers in the Presence of Renewable Energy‐Based Distributed Generations Considering Different Load Profiles

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
• As the main contribution, simultaneous optimisation of the site and size of service transformers, WTs and PVs is investigated with respect to the impact of the load profile. In other words, in a distribution network, since it is important to optimally allocate service transformers and various factors can affect the optimal results, this paper focuses
Mohammad Ali Alipour, Alireza Askarzadeh
wiley   +1 more source

Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Journal of Big Data
Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and
Jiaxu Huang, Haiqing Hu
doaj   +1 more source

Optimization of Hybrid Machine Learning Approach for Unemployment Rate Forecasting

Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.
This research proposes a robust approach for forecasting female unemployment rates across various regions in Egypt using optimized support vector machines (SVMs). Key factors such as education level, age, and location are analyzed to enhance prediction accuracy. The process involves three phases: training, predicting, and optimizing.
Wafaa A. Shrief, Ayat Taha, Rasha Elstohy, Nevein Nagy, Eman M. Ali, Zhaocai Wang   +5 more
wiley   +1 more source

Exploring LBWO and BWO Algorithms for Demand Side Optimization and Cost Efficiency: Innovative Approaches to Smart Home Energy Management

IEEE Access
Demand side management (DSM) involves technologies and strategies that allow customers to actively participate in the optimization of their energy usage patterns, ultimately contributing to a more sustainable and efficient energy system.
Heba Youssef, Salah Kamel, Mohamed H. Hassan, Ehab Mahmoud Mohamed, Nasreddine Belbachir   +4 more
doaj   +1 more source