Results 151 to 160 of about 229,241 (272)

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Delphi consensus on Thoroughbred yearling sales endoscopy in Australasia

Equine Veterinary Journal, EarlyView.
Abstract Background Concerns regarding the reliability and consistency of yearling sales endoscopy in Australia and New Zealand have led to reduced industry confidence. Recent studies have clarified the relationship between yearling laryngeal function (YLF) grades and future outcomes.
Josephine L. Hardwick, Benjamin J. Ahern, Brian H. Anderson, Samantha H. Franklin   +3 more
wiley   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting

Journal of Forecasting, EarlyView.
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang, Justin Deng, Lih‐Yuan Deng, Henry Horng‐Shing Lu   +3 more
wiley   +1 more source

The Role of Coincident Information in Real‐Time Business Cycle Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley   +1 more source

Evaluating the Role of Social Capital in the Sustainable Use of Common-Pool Resource Use: Evidence from Participatory Forest Management in Ethiopia. [PDF]

Environ Manage
Tegenie YA.
europepmc   +1 more source

What Role Do Finance Ministers Play in Political Business Cycles? Evidence‐Based on a New African Dataset

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study investigates how the personal characteristics of finance ministers influence political budget cycles in Africa. Using a new dataset covering 300 finance ministers across 23 countries from 1980 to 2020, we find that political budget cycles primarily take the form of increased government consumption during election years.
Christine Olivia Strong
wiley   +1 more source

On the Consistency of Automatic Scoring with Large Language Models. [PDF]

Educ Psychol Meas
Xue M, Xiao X, Liu Y, Wilson M.
europepmc   +1 more source