Results 121 to 130 of about 444 (212)
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 +4 more
wiley +1 more source
This study develops a multi‐objective optimization framework to evaluate large‐scale carbon capture, utilization, and storage (CCUS) deployment in China's coal‐fired power sector. By jointly considering cost, net CO2 mitigation, and system robustness under infrastructure constraints, the analysis reveals Pareto‐optimal deployment patterns and ...
Linjie Fang, Xu Tang, Yuqing Jiang
wiley +1 more source
Cross‐species extrapolation of adverse outcome pathway network on reproductive toxicity under the One Health perspective using new approach methodologies. AOP = adverse outcome pathway. Abstract Although ecotoxicological and toxicological risk assessments are performed separately from each other, recent efforts have been made in both disciplines to ...
Elizabeth Dufourcq Sekatcheff +2 more
wiley +1 more source
Abstract Background The success of in vitro embryo production (IVEP) is influenced by donor mare and stallion. Objectives To determine whether donor mare and stallion influence the pregnancy rate after transfer of in vitro produced (IVP) blastocysts and to identify factors influencing the likelihood of obtaining one or more pregnancies from a single ...
M. Papas +11 more
wiley +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
A Novel Text‐Based Framework for Forecasting Carbon Prices
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley +1 more source
ABSTRACT This study evaluates whether the relative performance of gross domestic product forecasting models is temporally robust across economies and changing macroeconomic conditions. Using annual real gross domestic product data from the World Bank for 177 separately reported economies and territories, we conduct a common‐vintage pseudo‐out‐of‐sample
Achilleas Tampouris, Chaido Dritsaki
wiley +1 more source
ABSTRACT Background Salivary gland carcinomas are uncommon malignancies with various histological subtypes harboring fusion genes. The EWSR1::ATF1 fusion gene, resulting from a translocation between chromosomes 12 and 22, is frequently observed in hyalinizing clear cell carcinoma (HCCC). However, the role of this fusion gene in HCCC oncogenesis remains
Yuri Hirai +13 more
wiley +1 more source

