Enhancing Building Thermal Performance: A Review of Phase Change Material Integration by Khaled Alassaad, James Minto, Pieter de Wilde

Get full text

Modeling and Evaluation of an Energy-Saving Backpack with Adjustable Stiffness by Jiyuan Wu, Zhiquan Chen, Yinglong Zhang, Xingsong Wang

“…Under the experimental conditions of a load of 12 kg and variable walking speeds, the backpack achieves a minimum reduction of 8.6% in the root mean square (RMS) value of gastrocnemius muscle activation. …”
Get full text

Impact analysis on distribution network due to coordinated electric ferry charging by Rajib Baran Roy, Sanath Alahakoon, Piet Janse Van Rensburg, Shantha Jayasinghe Arachchillage

“…The power flow analysis suggests that bus voltages rise by approximately 1%–1.5%, while load current consumption decreases by around 2%–2.5% compared to the base case with variable load. …”
Get full text

Research on Coupling Heating under Varying Duty Based on the In-Depth Cascade Utilization of Heat Energy by Jiafei QIAO, Zhanwei LIANG, Lei ZHANG, Shunsen WANG

“…Regardless of different coupled heating methods implemented, the thermal efficiencies all decrease with the load increase at unit one, while they all increase with the load increase at unit three, and the unit thermal efficiencies vary from 63% to 80%. …”
Get full text

Development of Active CO2 Emission Control for Diesel Engine Exhaust Using Amine-Based Adsorption and Absorption Technique by Solomon Jenoris Muthiya, L. Natrayan, L. Yuvaraj, Mohankumar Subramaniam, Joshuva Arockia Dhanraj, Wubishet Degife Mammo

“…The experiments were performed in a single-cylinder diesel engine under variable load conditions. The eddy current dynamometer is used to apply appropriate loads on the engine based on the settings. …”
Get full text

THE SELECTION OF GEOMETRIC CHARACTERISTICS FOR CIRCULAR MULTI-LAYERED PIEZOELECTRIC PLATES by O. V. Ratmanova, D. A. Shlyakhin

“…The solution is carried out by the method of finite integral transforms, using successively the Fourier – Bessel transform along the radial coordinate and the generalized transform along the axial variable. In this case, each time the standardization procedure is preliminarily performed (reduction of the boundary conditions to a form, which allows to apply the corresponding transformation).Result. …”
Get full text

Optimal multi-objective energy management of decentralized demand response incorporating uncertainties. by Alireza Norouzpour Shahrbejari, Mohammad Hadi Eskandari Sani, Mehdi Zareian Jahromi, Elnaz Yaghoubi, Elaheh Yaghoubi, Mohammad Reza Maghami

“…This paper proposes a novel method for optimizing energy consumption in power networks by integrating stochastic techniques to manage uncertainties and variable conditions. The findings show improved network efficiency and cost reduction, achieving a 15.62% decrease in voltage deviation, 37.08% reduction in load demand, 62.05% decrease in active losses, 81.25% reduction in reactive losses, and 33-45% reduction in Expected Energy Not Supplied (EENS).…”
Get full text

The impact of process parameters on the responses of a diesel engine running on biodiesel-diesel blend: An optimization study by Sarah Oluwabunmi Bitire, Tien-Chien Jen

“…Furthermore, for the tested engine, the engine speed was determined to be the most significant variable (with the most influence) when compared to the engine load and fuel blend. …”
Get full text

YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

“…Comparative evaluations demonstrate significant improvements over baseline models, achieving 91.7% recognition accuracy with 389 FPS processing speed while maintaining 19.2% parameter reduction and 32.1% lower computational load compared to standard YOLOv8. …”
Get full text

Artificial intelligence in language learning: biometric feedback and adaptive reading for improved comprehension and reduced anxiety by Hang Yuan

“…Abstract This study investigates the efficacy of an AI-enhanced reading platform in enhancing reading comprehension and influencing psychological variables such as motivation, anxiety, and cognitive load among second language (L2) learners. …”
Get full text

Robust optimization for smart demand side management in microgrids using robotic process automation and grey wolf optimization by Bin Chen, Zeke Li, Bijing Liu, Haiwei Fan, Qiutian Zhong

“…Key innovations include real-time load scheduling, demand response optimization, and integration of controllable and non-controllable loads, enhancing flexibility and efficiency. …”
Get full text

Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

“…This study utilizes a range of machine learning algorithms, including linear regression, decision tree, random forest, gradient boosting, K-nearest neighbour, Support Vector Regression, LightGBM and CatBoost, to analyse their effectiveness in predicting pavement performance. The input variables include axle load, truck load, traffic speed, lateral wander modes, asphalt layer thickness, traffic lane width and tire types, while the output variables consist of number of passes to fatigue damage, number of passes to rutting damage, fatigue life reduction in number of years and rut depth at 1.3 million passes. …”
Get full text

A Neural Network-Based Model Predictive Control for a Grid-Connected Photovoltaic–Battery System with Vehicle-to-Grid and Grid-to-Vehicle Operations by Ossama Dankar, Mohamad Tarnini, Abdallah El Ghaly, Nazih Moubayed, Khaled Chahine

“…The intermittent nature of solar energy and the variable charging demands of EVs complicate reliable and efficient power management. …”
Get full text

Real-Time Electrical Energy Optimization in E-Commerce Systems Based on IoT and Mobile Agents by Mohamed Shili, Sajid Anwar

“…Moreover, the proposed architecture achieved a reduction of up to 38.9% for response times for resource management, under load, while also demonstrating a 50% reduction in response time for real-time event handling. …”
Get full text

Holistic Hosting Capacity Enhancement Through Sensitivity-Driven Flexibility Deployment and Uncertainty-Aware Optimization in Modern Distribution Networks by Wenjie Pan, Jun Han, Chao Cai, Haofei Chen, Hong Liu, Zhengyang Xu

“…The proposed approach integrates temporal sensitivity mapping with robust optimization techniques to prioritize resource allocation across high-sensitivity nodes, addressing uncertainties in renewable energy generation and load demand. By leveraging a dynamic interaction between sensitivity scores and temporal system conditions, the framework achieves efficient and resilient operation under extreme variability scenarios. …”
Get full text

Real-Time Energy Management in Microgrids: Integrating T-Cell Optimization, Droop Control, and HIL Validation with OPAL-RT by Achraf Boukaibat, Nissrine Krami, Youssef Rochdi, Yassir El Bakkali, Mohamed Laamim, Abdelilah Rochd

“…Modern microgrids face critical challenges in maintaining stability and efficiency due to renewable energy intermittency and dynamic load demands. …”
Get full text

A Novel Exploration Stage Approach to Improve Crayfish Optimization Algorithm: Solution to Real-World Engineering Design Problems by Harun Gezici

“…The superior performance of the ICOA compared to the COA is proven by the following quantitative data: 0.0007% weight reduction in cantilevers design (from 1.339974 kg to 1.339965 kg), 0.09% load capacity increase in bearing design (COA: 84,196.96 N, ICOA: 85,498.38 N average), 0.27% performance improvement in ROAS problem (COA: 144.072, ICOA: 144.601), and most importantly, there seems to be an overall performance improvement as the COA has a 4.13 average rank while the ICOA has 1.70 on CEC-2014 benchmark tests. …”
Get full text

Nonlinear evaluation of reliability-based topology optimization of concrete deep beams by Rodrigo Reis Amaral, Jorge Luis Palomino Tamayo, Liércio André Isoldi, Herbert Martins Gomes

“…The scope here is to conduct a comparative analysis between a reference deep beam from the literature and the optimized topologies to determine the ultimate strength capacity and assess how material reduction affects the failure mode and ultimate load. …”
Get full text

Energy distribution and chaotic pressure pulsation analysis of vortex ropes in Francis-99 by Puxi Li, Jiahao Lu, Ran Tao, Ruofu Xiao, Bin Ji, Fujun Wang

“…Francis turbines, essential for stability in diverse operating conditions and variable-speed scenarios, encounter efficiency-compromising vortex rope formations in the draft tube, leading to substantial pressure fluctuations. …”
Get full text

Enhancing Data Collection Time Intervals and Modeling the Structural Behavior of Bridges in Response to Temperature Variations by Adrian Traian Rădulescu, Gheorghe M. T. Rădulescu, Sanda Mărioara Naș, Virgil Mihai Rădulescu, Corina M. Rădulescu

“…Temperature is an environmental variable that changes both throughout the day and between different seasons, and its variations can induce thermal loads on bridges, potentially resulting in considerable displacements and deformations. …”
Get full text