Results 271 to 280 of about 1,517,214 (350)

Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Accurate prediction of dust in open‐pit mines can serve as a foundation for implementing dust prevention and control measures. Based on the collection and monitoring of dust concentration, meteorological, and production data from open‐pit mines, the changing characteristics of dust concentration and its influencing factors were analyzed.
Shuangshuang Xiao   +4 more
wiley   +1 more source

Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Detection of faults in solar photovoltaic (PV) systems is an important concern to guarantee that renewable energy source generation keeps its efficiency and reliability. It directly affects the development of sustainable development goals (SDGs), especially those on affordable and clean energy and climate action.
Praveen Kumar Balachandran   +2 more
wiley   +1 more source

Combining Volatility Forecasts of Duration‐Dependent Markov‐Switching Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Duration‐dependent Markov‐switching (DDMS) models require a user‐specified duration hyperparameter, for which there is currently no established procedure for estimation or testing. As a result, an ad‐hoc duration choice must be heuristically justified.
Douglas Eduardo Turatti   +2 more
wiley   +1 more source

Visualizing Uncertainty in Time Series Forecasts: The Impact of Uncertainty Visualization on Users' Confidence, Algorithmic Advice Utilization, and Forecasting Performance

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Time series forecasts are always associated with uncertainty. However, experimental studies on the impact of uncertainty communication provide inconclusive results on the effect of providing this uncertainty to end users. In this study, we examine the impact of uncertainty visualizations on advice utilization in the context of time series ...
Dirk Leffrang, Oliver Müller
wiley   +1 more source

Modeling the Implied Volatility Smirk in China: Do Non‐Affine Two‐Factor Stochastic Volatility Models Work?

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT In this paper, we investigate alternative one‐factor and two‐factor continuous‐time models with both affine and non‐affine variance dynamics for the Chinese options market. Through extensive empirical analysis of the option panel fit and diagnostics, we find that it is necessary to include both the non‐affine feature and the multi‐factor ...
Yifan Ye, Zheqi Fan, Xinfeng Ruan
wiley   +1 more source

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