Multiple Factors Coupling Probability Calculation Model of Transmission Line Ice-Shedding DOI Creative Commons
Hao Pan,

Fangrong Zhou,

Yi Ma

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(5), P. 1208 - 1208

Published: March 3, 2024

After a transmission line is covered by ice in winter, ice-shedding and vibration occurs under special meteorological external dynamic conditions, which leads to intense shaking. Transmission often cause flashover trips outages. In January 2018, three 500 kV lines, namely, the Guanli line, Dushan Guanqiao tripped cut off due Anhui province, seriously threatening safe operation of large power grid. Current studies mainly focus on analyzing influence factors characteristics investigating suppression measures, but they only analyze correlation between each influencing factor icing or shedding, do not consider coupling effects multiple factors. this paper, key probability distribution were analyzed, multiple-factor fault calculation model based Copula function was proposed. The calculated directly considering at same time, effectively overcame error caused multi-factor transformation fuzzy membership degree other methods. It provided an important decision-making basis for preventing controlling faults.

Language: Английский

Single-Objective and Multi-Objective Flood Interval Forecasting Considering Interval Fitting Coefficients DOI
Xinyu Chang, Jun Guo,

Hui Qin

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(10), P. 3953 - 3972

Published: April 19, 2024

Language: Английский

Citations

52
Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion DOI
Zhaocai Wang, Nannan Xu, Xiaoguang Bao

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 178, P. 106091 - 106091

Published: May 28, 2024

Language: Английский

Citations

41
Green solutions for blue waters: Using biomaterials to purify water from microplastics and nanoplastics DOI
Vafa Fakhri, Ali Hamzehlouy,

Atieh Janmaleki Dehchani

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 65, P. 105854 - 105854

Published: July 23, 2024

Language: Английский

Citations

22
Bending responses of graphene nanoplatelets reinforced sandwich cylindrical micro panel with piezoelectric layers DOI
Qian Zhang,

Mingchao Xie,

Dianyi Zhou

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Aug. 4, 2024

Bending responses of a nanocomposite-reinforced cylindrical panel are studied in this article. A shell is assumed micro scale and sandwiched by piezoelectric layers. In article, micro-size dependent theory named as the modified couple stress (MCST) analytically employed kinematic relations extended through employing shear deformable model order to investigate electroelastic bending three-layered micro-shell bonded between smart layers subjected an applied voltage, external internal pressures. The rested on two parametrically elastic foundation. develop constitutive relations, mixture's rule well Halpin-Tsai utilized compute governing equations. Electroelastostatic obtained trigonometric functions. large parametric analysis presented explore deflection with change thickness layer radius, length radius ratio, different characteristics nanoplatelet reinforcement for both pressure. proposed composite electromechanical structure may be used structures systems. controllable system can suggested usage graphene nanoplatelets because flexibility affecting parameters.

Language: Английский

Citations

21
Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations DOI Creative Commons

Lei Jin,

Huazhu Xue, Guotao Dong

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 634, P. 131117 - 131117

Published: March 24, 2024

Global climate change has led to an increase in the frequency and scale of extreme weather events worldwide, there is urgent need develop better-performing hydrological models improve accuracy streamflow simulations facilitate water resource planning management. The Soil Water Assessment Tool (SWAT) a notable physical foundation widely used research. However, it uses simplified vegetation growth model, introducing uncertainty into simulation results. This study focused on improving model based remotely sensed phenological leaf area index (LAI) data. Phenological data were define dormancy, LAI replaced corresponding simulated by original model. approach improved describing dynamics. Then, enhanced SWAT was coupled with bidirectional long short-term memory (BiLSTM) validate processes upstream Hei River. During validation, performance simulating (R2 = 0.835, NSE 0.819) better than that 0.821, 0.805). In terms evapotranspiration, demonstrated even greater advantages. verification period, compared those R2 values for daily-scale increased from 0.196 −0.269 0.777 0.732, respectively. monthly-scale 0.782 0.678 0.906 0.851, Simultaneously, levels two coupling approaches prediction compared, i.e., direct BiLSTM (SWAT-BiLSTM) (enhanced SWAT-BiLSTM). results showed SWAT-BiLSTM always performed during entire especially which could more accurately predict peak changes. deep learning accuracy.

Language: Английский

Citations

18
Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting DOI

Jinjie Fang,

Linshan Yang,

Xiaohu Wen

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 636, P. 131275 - 131275

Published: May 7, 2024

Language: Английский

Citations

17
Bending-based solution methodology using eigenvalue-eigenvector approach for analysis of foldable reinforced Golf Clubs cylindrical shell DOI

Jingxian Huang,

Zhidao Pan,

Sheng Yang

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: July 21, 2024

Language: Английский

Citations

17
Simultaneous Energy, Fresh Water, and Biogas Production Process Utilizing Solar Thermal and Sewage Sludge DOI Creative Commons

Milad Imandoust,

Seyed Taher Kermani Alghorayshi,

Solmaz Abbasi

et al.

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

ABSTRACT Minimizing the detrimental effects of global warming and pollution from fossil fuel consumption is essential to meet growing demand for energy fresh water, making it imperative adopt renewable alternatives. The integration solar biomass in hybrid systems will grow importance. proposed study introduces a new design that facilitates simultaneous production power, biogas, water continuous process. present research aims tackle challenge utilizing multiple sources, such as biomass, generate fuel, water. To achieve this, 4‐stage multi‐effect desalination system be employed desalinating seawater. This paper discusses combining feedstocks address maintaining consistent power plants at night, when there no sunlight. hand involves assessing various factors using ASPEN Plus software, heat transfer fluid (SHTF), sewage sludge flowrates, biogas production, output waste stream gasification reactor, generation, freshwater production. Additionally, payback period this project approximately 4.8 years, with net value (NPV) around 560 million dollars. By performing sensitivity analysis, viability designed process quality resulting products were effectively demonstrated. From process, an impressive 76.8586 tons per hour syngas, composed carbon monoxide hydrogen, was generated. reached 34.547 MW, while simultaneously producing 783 m 3 /h Due efficient recovery throughout entire only 25 MW required. Despite efforts, operating 50% productivity level. supply required during daylight hours, total 38,908 square meters Parabolic trough collector (PTC) necessary. According environmental primary concern effect on human health. Solar collectors sea units account over 95% pollution. revelation showed resources could provide sustainable solution rising electricity, fuel.

Language: Английский

Citations

3
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China DOI Creative Commons

Juan Dong,

Liwen Xing, Ningbo Cui

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 292, P. 108665 - 108665

Published: Jan. 9, 2024

Accurate reference crop evapotranspiration (ET0) estimation is essential for agricultural water management, productivity, and irrigation systems. As the standard ET0 method, Penman-Monteith equation has been widely recommended worldwide. However, its application still restricted to comprehensive meteorological data deficiency, making exploration of alternative simpler models acceptable highly meaningful. Concerning aforementioned requirement, this study developed novel deep learning model (MA-CNN-BiLSTM), which incorporates Multi-Head Attention mechanism (MA), Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory network (BiLSTM) as intricate relationship processor, feature extractor, regression component, estimate based on radiation-based (Rn-based), humidity-based (RH-based), temperature-based (T-based) input combinations at 600 stations during 1961–2020 throughout China under internal external cross-validation strategies. Besides, through a comparative evaluation among MA-CNN-BiLSTM, CNN-BiLSTM, BiLSTM, LSTM, Multivariate Adaptive Regression Splines (MARS), empirical models, result indicated that MA-CNN-BiLSTM achieved superior precision, with values Determination Coefficient (R2), Nash–Sutcliffe efficiency coefficient (NSE), Relative Root Mean Square Error (RRMSE), (RMSE), Absolute (MAE) ranging 0.877–0.972, 0.844–0.962, 0.129–0.292, 0.294–0.644 mm d−1, 0.244–0.566 d−1 strategy 0.797–0.927, 0.786–0.920, 0.162–0.335, 0.409–0.969 0.294–0.699 strategy. Specifically, Rn-based excelled in temperate continental zone (TCZ) mountain plateau (MPZ), while RH-based yielded best precision others. Furthermore, was by 2.74–106.04% R2, 1.11–120.49% NSE, 1.41–40.27% RRMSE, 1.68–45.53% RMSE, 1.21–38.87% MAE, respectively. In summary, main contribution present proposal LSTM-type (MA-CNN-BiLSTM) cope various data-missing scenarios China, can provide effective support decision-making regional agriculture management.

Language: Английский

Citations

14
Numerical and Analytical Study for the Stochastic Spatial Dependent Prey-Predator Dynamical System DOI

Muhammad Zafarullah Baber,

Muhammad Waqas Yasin,

Changjin Xu

et al.

Journal of Computational and Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 19(10)

Published: July 20, 2024

Abstract Prey and predator are the important factor of ecosystem. Generally, it is considered that prey–predator models depends on time only required nonlinear system equations for its dynamical study. But, observed such species can move from one to place another in a way there need which also spatial as well. The stochastic investigated numerically analytically. proposed NSFD used numerical study; consistent with given linear stability analysis showed unconditionally stable. There two equilibria free second coexistence equilibrium. These successfully gained case. Extended generalized Riccati equation mapping method applied analytical obtained solutions form rational, hyperbolic, trigonometric. For comparative study, unique physical problems developed their simulations drawn various choices parameters. graphical behavior depicts efficacy our

Language: Английский

Citations

14