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

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

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 unp...

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Bibliographic Details
Main Authors: Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Energy Science & Engineering
Subjects:
Bi‐GRU
European countries
internet of energy things
nonrenewable energy
renewable energy
smart grid
Online Access:https://doi.org/10.1002/ese3.1981
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https://doi.org/10.1002/ese3.1981

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