Results 171 to 180 of about 1,043 (255)

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Maize yield estimation at different growth stage using weather variables by LASSO, elastic net and stepwise multiple linear regression techniques. [PDF]

Sci Rep
Vashisth A, Aravind KS.
europepmc   +1 more source

Ridge Regression Method and Bayesian Estimators under Composite LINEX Loss Function to Estimate the Shape Parameter in Lomax Distribution. [PDF]

Comput Intell Neurosci, 2022
Yassen MF, Al-Duais FS, Almazah MMA.
europepmc   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

Model Validation for Survival Analysis by Smoothed Predictive Likelihood. [PDF]

Stat Med
Lu C, Putter H, Girondo MR, Goeman JJ.
europepmc   +1 more source

The Impact of Uncertainty on Forecasting the US Economy

Journal of Forecasting, EarlyView.
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley   +1 more source

High-resolution photovoltaic power forecasting using machine learning models under seasonal and stress conditions. [PDF]

Sci Rep
Mansour HSE, Mohamed AS, Farh HMH, Ibrahim AW, Al-Shaalan AM, Kunya AB, Elnashar HS.   +6 more
europepmc   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

An interpretable statistical approach to photovoltaic power forecasting using factor analysis and ridge regression. [PDF]

Sci Rep
Esen V, Coban B, Kavus BY, Karaca TK, Dindar T, Sarkin AS.   +5 more
europepmc   +1 more source

The existence theorem in general ridge regression

Hoerl and Kennard (1970) state that, like the ordinary ridge estimator, the general ridge estimator is also better than the least squares estimator relative to a mean square error. The proof of this result is given in this note.
Chawla, J. S.
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