Cited by Infrastructural and Marketing Support of the Energy Saving System: Strategic Guidelines for National Programs Recovery

Using machine learning techniques to identify major determinants of electricity usage in residential buildings of Pakistan DOI

Muhammad Sohaib Jarral,

Khuram Pervez Amber, Taqi Ahmad Cheema

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: 100, P. 111800 - 111800

Published: Jan. 7, 2025

Language: Английский

Citations

Research on Building Energy Consumption Prediction Based on Hybrid GRU Neural Network DOI

Zhiyuan Gao, Xuewei Zhang, Changsheng Wang

et al.

Arabian Journal for Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Language: Английский

Citations

Energy management system design for high energy consuming enterprises integrating the Internet of Things and neural networks DOI

Zhaolin Wang, Zhiping Zhang

EAI Endorsed Transactions on Energy Web, Journal Year: 2025, Volume and Issue: 12

Published: May 2, 2025

INTRODUCTION: High energy consuming enterprises continue to pay increasing attention consumption. Therefore, designing an management system is significant.OBJECTIVES: To improve the level and economic benefits of enterprises, a high enterprise design based on Internet Things technology neural network algorithms proposed.METHODS: devices are used for data collection transmission. The combination model prediction optimization can achieve real-time monitoring, prediction, control consumption.RESULTS: research results indicated that response time proposed in study was 80.2 ms when number people 600. fluctuation range CPU usage within 24 hours 14% 45%.CONCLUSION: A integrates networks manage more efficiently intelligently, thereby improving production efficiency enterprise. This helps companies gain greater advantages fierce market competition.

Language: Английский

Citations

Determining the characteristics of representative volume elements in severely deformed aluminum-matrix composite DOI

Amir Hossein Assari,

Negar Shaghaghi,

Saeid Yaghoobi

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e36489 - e36489

Published: Aug. 1, 2024

The accurate evaluation of the effective mechanical properties composites mainly depends on characteristics representative volume elements (RVEs). This paper investigates RVE size. Additionally, effect fraction reinforcement, edge effect, and types critical size are discussed. First, Al/Ni multilayered were processed by nine cycles cross-accumulative roll bonding (CARB) method. Then, one type RVEs was created based cross-sectional micrographs to consider their inhomogeneities. Another generated using random sequential adsorption (RSA) procedure. Thereafter, homogenized elastic both microstructure-based RSA-based computed compared as a function Ni results showed that increasing fragments, indicated stiffer behavior. By from 0.2 Vf 0.8 Vf, Poisson ratio decreased 7 % modulus increased 83 for RVE. Regarding (0.8 Vf), largest (size 1) with length 575 μm width smallest 5) 287.5 μm, 16 decrease, respectively.

Language: Английский

Citations

Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: data generation, incremental learning, transfer learning, and physics-informed DOI

Guannan Li, Lei Zhan, Xi Fang

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133640 - 133640

Published: Oct. 1, 2024

Language: Английский

Citations

Light and normal weight concretes shear strength estimation using tree-based tunned frameworks DOI

Honggang Kou,

Juanjuan Quan,

Shaoqiang Guo

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 452, P. 138955 - 138955

Published: Nov. 1, 2024

Language: Английский

Citations

Intelligent detection of office occupancy using hybrid data-mining DOI

Liping Xie,

Lili Dai,

Taoufik Saidani

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 322, P. 114690 - 114690

Published: Aug. 22, 2024

Language: Английский

Citations

Achieving Net-Zero Energy Buildings: Analyzing and Optimizing Strategies Using Sensitivity Analysis DOI

Alireza Asgari Motlagh,

Saeideh Havaeji,

Mansour Orangian

et al.

Journal of Asian Energy Studies, Journal Year: 2024, Volume and Issue: 8, P. 51 - 67

Published: July 17, 2024

Enhancing building energy efficiency and incorporating renewable technologies are crucial for combating climate change promoting sustainability. This study employed a sensitivity analysis to evaluate the influence of various parameters on costs consumption. Standardized Regression Coefficients (SRC) were used measure each variable. The type glass, wall construction, window-to-wall ratios, shading elements identified as having most significant impact electricity usage. SRC values provided numerical representation strength direction relationship between these factors output variables. Furthermore, quantified savings achieved through optimization methods. data indicated an average reduction in consumption 22%, with variations 21% 23% across different floors. These results highlighted effectiveness optimizing variables applying energy-efficient design principles. findings this investigation enhance our understanding role efficiency. They can serve reference making decisions integrating into buildings designing them. strategies help reduce environmental impact, promote sustainable construction practices, achieve savings.

Language: Английский

Citations

Infrastructural and Marketing Support of the Energy Saving System: Strategic Guidelines for National Programs Recovery DOI

Nataliia Kuzmynchuk, Тетяна Куценко, Hanna Pysarevska

et al.

SpringerBriefs in applied sciences and technology, Journal Year: 2024, Volume and Issue: unknown, P. 59 - 79

Published: Nov. 29, 2024

Language: Английский

Citations