Results 151 to 160 of about 3,492,245 (278)

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
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, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique. [PDF]

Front Artif Intell
Chandrasekaran R, Paramasivan SK.
europepmc   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Fault diagnosis method for gearbox systems using OVMD and KLIRVM. [PDF]

Sci Rep
Meng S.
europepmc   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
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

Operational Status Assessment and Trend Prediction of Francis Turbine Generator Unit Shaft System Driven by Vibration and Swing Signals. [PDF]

Sensors (Basel)
Zhang L, Qin S, Feng Z, Wang J, Sun H, Yang SX, Liu X, Yang K.   +7 more
europepmc   +1 more source

Beta Forecasting With Realized Beta Estimators and Machine Learning Algorithms

Journal of Forecasting, EarlyView.
ABSTRACT This paper applies machine learning algorithms to the modeling of realized betas for the purposes of forecasting stock systematic risk. Higher levels of beta forecast accuracy are demonstrated, relative to other studies in the literature. These improvements are also highly significant, both statistically and economically.
Bao Doan, Dulani Jayasuriya, John B. Lee, Jonathan J. Reeves   +3 more
wiley   +1 more source

Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT. [PDF]

Micromachines (Basel)
Li H, Sun F, Tian J, He X, Zhu T.
europepmc   +1 more source

Biosensors for Food Safety and Adulteration Monitoring: Applications, Smart Packaging Integration, and Pathways to Intelligent, Field‐Deployable Detection Systems

Food Safety and Health, EarlyView.
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any, Abid Hassan Arnab, Liza Akter, Yusuf Chowdhury, Md. Hassan Bin Nabi, Md Abu Rayhan, Nazmul Islam, Wahidu Zzaman   +7 more
wiley   +1 more source

A deep complementary learning framework for surface water temperature forecasting. [PDF]

Sci Rep
Jamei M, Mehdizadeh S, Ali M, Karbasi M, Cheema SJ, Farooque AA, Yaseen ZM.   +6 more
europepmc   +1 more source