Energy Science &Engineering, EarlyView.This study analyzes energy consumption and economic growth across 39 Sub‐Saharan African countries using a PVAR model. Findings reveal that non‐renewable energy and labor force growth stimulate economic growth, while renewable energy does not stimulate economic growth in the short run.
Amadou Cham +4 more
wiley +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
Assessing energy consumption and economic growth interrelations in Asia-Pacific: A multivariate approach with panel FMOLS and bootstrap Granger causality tests. [PDF]
HeliyonXinjian Z.
europepmc +1 more source
Solid Biofuel Usage and Households' Behavior Toward Energy Choice in Northwest Ethiopia
Energy Science &Engineering, EarlyView.This study analyzed household energy choice behavior in northwest Ethiopia using an integrated energy stacking and decision‐making framework. Evidence shows dominant reliance on solid biomass and a fuel‐stacking pattern, while urban residences, higher income, and education increase clean energy adoption, highlighting the need for pro‐poor, context ...
Habtamu Setargachew Molla +3 more
wiley +1 more source
Brain functional network changes in patients with juvenile myoclonic epilepsy: a study based on graph theory and Granger causality analysis. [PDF]
Front NeurosciKe M, Hou Y, Zhang L, Liu G.
europepmc +1 more source
Energy Science &Engineering, EarlyView.ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan +4 more
wiley +1 more source
Multimodal insights into granger causality connectivity: Integrating physiological signals and gated eye-tracking data for emotion recognition using convolutional neural network. [PDF]
HeliyonFarhadi Sedehi J +3 more
europepmc +1 more source
Journal of Forecasting, EarlyView.ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková +4 more
wiley +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
Journal of Forecasting, EarlyView.ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Evaluating the role of financial globalization and oil consumption on ecological quality: A new perspective from quantile-on-quantile granger causality. [PDF]
HeliyonAdebayo TS, Özkan O.
europepmc +1 more source