2024
DOI: 10.1002/ese3.1981
|View full text |Cite
|
Sign up to set email alerts
|

Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods

Yonghong Liu,
Muhammad S. Saleem,
Javed Rashid
et al.

Abstract: Accurate forecasts of renewable and nonrenewable energy output are essential for meeting global energy needs and resolving environmental issues. Energy sources like the sun and wind are variable, making forecasting difficult. Changes in weather, demand, and energy policy exacerbate this unpredictability. These challenges will be addressed by the bidirectional gated recurrent unit (Bi‐GRU) model, which forecasts power‐generating outcomes more efficiently. The investigation is done over a health data set from 20… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 31 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?