Results 51 to 60 of about 3,725 (190)

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

From Ship to Shore: A Review of Vessel‐To‐Grid Bidirectional Charging for Sustainable Maritime Transport

EcoEnergy, EarlyView.
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor, Tamer Kamel, Sarah Fear, Lee J. Durndell   +3 more
wiley   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

Energy Science &Engineering, EarlyView.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Ferroelectric modulated visual devices with spatial and temporal polarization‐sensitivity for information recognition and processing in visibility‐degraded environments

InfoMat, EarlyView.
Conventional imaging systems often struggle to recognize objects accurately in challenging environments such as underwater or foggy scenes. We developed a polarization‐sensitive artificial vision device inspired by the mantis shrimp that uses advanced two‐dimensional materials and a ferroelectric layer to directly sense, process, and retain visual ...
Zhaoying Dang, Yifei Zhao, Feng Guo, Tao Yu, Hengrui Guo, Jialin Li, Qilong Cui, Qing Li, Jianhua Hao   +8 more
wiley   +1 more source

Late Holocene environmental history of Dojran, Macedonia: Investigating the interplay of imperial dynamics and climatic change

Journal of Quaternary Science, EarlyView.
ABSTRACT This study presents a high‐resolution, multi‐proxy reconstruction of environmental and land‐use change from Lake Dojran over historical times (last 2500 years), combining pollen, biomarkers, radiocarbon dating, Ottoman taxation records and other historical data.
Alessia Masi, Lucrezia Masci, Georgios C. Liakopoulos, Monica Bini, Alexander Francke, Ilaria Isola, Carlo Ricotta, Laura Sadori, Alexander Sarantis, Sławomir Sprawski, Jakub Sypiański, Irene Tunno, Cristiano Vignola, Bernd Wagner, Giovanni Zanchetta, Adam Izdebski   +15 more
wiley   +1 more source

Habitat characteristics along spring migration routes of elk, mule deer, and pronghorn in the southern San Juan Mountains

The Journal of Wildlife Management, EarlyView.
We evaluated habitat characteristics of spring migration routes and stopover sites for adult female elk (Cervus canadensis), mule deer (Odocoileus hemionus), and pronghorn (Antilocapra americana) in the San Juan Mountains (2021–2022) and found species‐specific differences in vegetation structure, terrain, and proximity to land cover types relative to ...
Joanna R. Ennis, Nicole M. Tatman, Steven E. Sesnie, James W. Cain III   +3 more
wiley   +1 more source

In Situ Curing‐Enabled 3D Printing of Continuous Fiber‐Reinforced Thermosetting Composites

Journal of Polymer Science, EarlyView.
In situ curing‐enabled the 3D printing of continuous fiber/thermoset composites, which were reviewed. Particularly, four types of in situ curing, were discussed, including Radiation‐induced curing, photothermal curing, electrothermal curing, and frontal polymerization. AI‐integrated printing was also analyzed.
Xiaofei Wu, Harrison Hayworth, Shiren Wang   +2 more
wiley   +1 more source