Predicting global energy demand for the next decade: A time-series model using nonlinear autoregressive neural networks
Energy demand forecasting has been an indispensable research target for academics, which has led to creative solutions for energy utilities in terms of power system design, control, and planning. The usefulness of energy demand forecasting is confined to the power engineering industry but globally e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-11-01
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| Series: | Energy Exploration & Exploitation |
| Online Access: | https://doi.org/10.1177/01445987231181919 |