Short-term power prediction method of wind farm cluster based on deep spatiotemporal correlation mining DOI
Da Wang, Mao Yang, Wei Zhang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 125102 - 125102

Published: Dec. 12, 2024

Language: Английский

Environmental Contour Methods for Long-Term Extreme Response Prediction of Offshore Wind Turbines DOI Creative Commons
Jixiang Zhang, Shan Wang, Milad Shadman

et al.

Journal of Marine Science and Application, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Language: Английский

Citations

1
Prediction of submarine soil dredging difficulty scale in cutter suction dredger construction with clustering-based deep learning DOI
Yong Chen, Qiubing Ren, Mingchao Li

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 147, P. 110370 - 110370

Published: Feb. 27, 2025

Language: Английский

Citations

1
3DTCN-CBAM-LSTM short-term power multi-step prediction model for offshore wind power based on data space and multi-field cluster spatio-temporal correlation DOI

Ruoyun Du,

Hongfei Chen, Min Yu

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 376, P. 124169 - 124169

Published: Aug. 22, 2024

Language: Английский

Citations

4
Plantas de fresa regeneradas in vitro mediante organogénesis directa en diferentes concentraciones de auxinas y citocininas DOI Open Access
Jesús Hernández-Ruíz, A. Eugenia Rangel-Castillo, María Isabel Laguna Estrada

et al.

Bioagro, Journal Year: 2025, Volume and Issue: 37(1), P. 123 - 134

Published: Jan. 1, 2025

La fresa (Fragaria x ananassa) es una especie vegetal de gran importancia económica y agroalimentaria, que se cultiva en regiones agroindustriales México, como el Bajío. El principal insumo la producción agrícola son las plantas, cuya primera etapa multiplicación empieza con formación clones por cultivo in vitro a partir plantas madre seleccionadas. Sin embargo, diversas características regeneradas pueden presentar variaciones reducen su valor agronómico comercial. Dicha variabilidad debida múltiples factores, aunque destaca efecto tienen combinaciones auxinas citocininas, así sus concentraciones. objetivo del presente estudio fue evaluar mediante organogénesis directa ante diferentes concentraciones citocininas. Los explantes obtuvieron meristemos apicales los estolones variedad Camino Real. Se utilizaron 21 tratamientos (AIB 2,4-D) citocininas (BAP cinetina) para organogénesis. mayor número vitroplantas obtuvo combinación AIB BAP 0,4 mg·L-1, tasa regeneración promedio 68,3 %. En dicho tratamiento presentaron mejor desarrollo alta respuesta antioxidante. concentración prolina 1,7 µg mL-1, control sin ni

Citations

0
A dual decomposition integration and error correction model for carbon price prediction DOI
Yanan Li, Xinsheng Zhang, Minghu Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124035 - 124035

Published: Jan. 10, 2025

Language: Английский

Citations

0
New Energy Power Generation Prediction Based on CNN-LSTM-Attention Model and Risk Detection Analysis of Isolation Forest Algorithm DOI

殿刚 胡

Journal of Image and Signal Processing, Journal Year: 2025, Volume and Issue: 14(01), P. 45 - 61

Published: Jan. 1, 2025

Language: Английский

Citations

0
Prediction Model for Newly-Added Sensors to Ocean Buoys: Leveraging Adversarial Loss and Deep Residual LSTM Architecture DOI

Qiguang Zhu,

Zhen Shen,

Wenjing Qiao

et al.

Digital Signal Processing, Journal Year: 2025, Volume and Issue: unknown, P. 105126 - 105126

Published: March 1, 2025

Language: Английский

Citations

0
Study on NLESO-based Sliding Mode Control for Offshore Wind Turbine MPPT with Offshore Crane-Assisted DOI Creative Commons
Yaojie Zheng, Xiangyang Cao,

Hanbin Xiao

et al.

Journal of Engineering Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Marine Heatwaves and Iceberg Melting in Polar Areas Intensify Phytoplankton Blooms DOI
Hao Liu, Xiangang Hu,

A. Z. Wang

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(3)

Published: March 1, 2025

ABSTRACT Climate change has led to increases in the intensity and frequency of marine heatwaves (MHWs). However, impact MHWs on phytoplankton at global scale remains unclear. The metaheuristic superlearner proposed this research indicates that occurrence weakens Fe limitation growth, leading intensified blooms. shock transmission effect analysis further reveals interactions among sea surface temperature (SST), iceberg melting, Fe, ammonium () nitrate (); namely, polar regions triggering a derivative melting. Compared with single event, dual disrupted effects limiting growth phytoplankton, resulting 54.90% increase rate massive reproduction regions. In addition, compared low‐emission scenario (SSP126), coverage area globally fragile respect blooms will by 5.84% under medium‐emission (SSP245) 9.29% high‐emission (SSP585). Specifically, Global South developing Pacific island countries are need scientific (marine protected guidance) financial (such as foundation for protection) assistance resist increasing expansion climate change.

Language: Английский

Citations

0
Wind power prediction based on improved self-attention mechanism combined with Bi-directional Temporal Convolutional Network DOI
Jian Shi, Jiashen Teh, Ching‐Ming Lai

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135666 - 135666

Published: March 1, 2025

Language: Английский

Citations

0