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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| Main Authors: | Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1981 |
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