Electricity demand serves as a crucial and immediate generation need that significantly affects the operations of utilities and the industrial production capacities in several regions. In their paper, the authors have proposed a method of nowcasting industrial production using linear and non-linear models of electricity demand.
Cryptocurrency, experiencing significant attention rise in the past decade, is progressively scrutinized in academic research. The interest goes beyond trading to understand the driving factors in its volatility.
The research paper is a comprehensive attempt to enhance the accuracy of forecasting energy commodity prices using a large global dataset sparse approach that involves time-varying shrinkage methods.
Energy markets have a significant influence on global economic conditions, as explained by Baumeister, Korobilis, and Lee in their research paper from 2022.
This academic article incorporates a comprehensive assessment of Hilde C Bjørnland's research, focusing on the role of oil causing macroeconomic instability.