Results 101 to 110 of about 63,358 (263)

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

Integrated Solar and Wind Energy Systems for Domestic Power Generation and CO2 Emissions Reduction

Energy Science &Engineering, EarlyView.
A well‐structured and sequentially methodical procedure for evaluating the Wind and Photovoltaic Hybrid Energy System‐based technical, environmental, and economic viability. This study investigates the integration of solar photovoltaic(PV) and wind energy systems for domestic electricity generation in the Gaza Strip.
Mohamed Elnaggar, Mai Abuhelwa, Wael A. Salah, Aamir Bashir Taas, Hala J. El‐Khozondar, Yasser F. Nassar, Ahmad Aboul Khail, Alfian Ma'arif, Mohammed J. K. Bashir, Abdurrahman A. Mattar   +9 more
wiley   +1 more source

Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

Energy Science &Engineering, EarlyView.
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor, Md Abdus Samad Kamal, Md. Feroz Ali, Md. Mahedi Hasan, Fahad Saleh Al‐Ismail, Md Shafiul Alam, Mohammad Ali   +6 more
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

Factors related to successful medication management with mifepristone and misoprostol in missed miscarriage: a retrospective case-control study

BMC Pregnancy and Childbirth
Background Treatment with mifepristone in combination with misoprostol may be a safe and less expensive option compared with surgical management in missed miscarriage, but the efficacy of medication management varies in clinical practice. This study aims
Huiyuan Wang, Yuheng He, Gao Gao, Jingwei Zhou, Xingrong Ye, Rongrong Tan, Danhua Pu, Jie Wu, Jing Lu   +8 more
doaj   +1 more source

Air pollution exposure during training impairs performance in Thoroughbred racehorses

Equine Veterinary Journal, EarlyView.
Abstract Background Ambient air pollution contributes substantially to human morbidity and mortality, and athletes are recognised as a particularly vulnerable group. However, little is known about the impact of air pollution on equine athletes. Objectives To explore the relationship between air pollution exposure during the pre‐competition training ...
Danielle Scott, Kathryn Seabaugh, Linda Kim, Sheryl Magzamen, Colleen Duncan   +4 more
wiley   +1 more source

Cheek tooth extraction in geriatric versus non‐geriatric horses

Equine Veterinary Journal, EarlyView.
Abstract Background Age‐related dental changes are major contributors to dental disorders in older horses, and cheek tooth extractions are often required to maintain masticatory function and oral comfort. However, limited information is available on clinical and treatment characteristics in this older patient population.
Elias Mair, Omid Nekouei, Patricia Trummer‐Schug, Rhea Haralambus, Nora Mareike Biermann   +4 more
wiley   +1 more source

Fire and Rescue Service Preparedness for Natural Hazards

Fire and Materials, EarlyView.
ABSTRACT Natural hazards driven by extreme weather events are expected to continue to pose a significant risk to citizens, property and the environment. Based on a series of national and international interviews with the Fire and Rescue Service (FRS), this paper presents an analysis of present practices within the FRS and FRS willingness to employ a ...
Johan Björck, Margaret McNamee
wiley   +1 more source

Geochemical and Geological Investigation of Skarn‐Type Pb–Zn Mineralization in Hastanetepe (Balya‐Balıkesir, Türkiye): An Approach Based on Fluid Inclusions, Sulphur Isotopes and Geochemical Data

Geological Journal, EarlyView.
Integrated petrographic, mineralogical and geochemical data from the Hastanetepe Pb–Zn deposit (Balya, Türkiye) reveal multi‐stage hydrothermal alteration and a magmatic sulphur source. Fluid inclusion and sulphur isotope results indicate a complex fluid evolution responsible for skarn‐type Pb–Zn mineralization along limestone–dacite contacts ...
Esra Ünal‐Çakır
wiley   +1 more source