Results 201 to 210 of about 978,873 (288)

Ambiguity‐Aware Receding‐Horizon Optimization of Wind‐Hybrid Energy Storage Systems Using Type‐3 Fuzzy Modeling for Multimarket Participation

open access: yesEnergy Science &Engineering, EarlyView.
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan   +5 more
wiley   +1 more source

Impact of donor mare and stallion identity on the likelihood of pregnancy after transfer of in vitro produced embryos

open access: yesEquine Veterinary Journal, EarlyView.
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

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

open access: yesJournal 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

A Novel Text‐Based Framework for Forecasting Carbon Prices

open access: yesJournal 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

Beta Forecasting With Realized Beta Estimators and Machine Learning Algorithms

open access: yesJournal 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   +3 more
wiley   +1 more source

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