Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection
Abstract Accurate forecasting of shipboard electricity demand is essential for optimizing Energy Management Systems (EMSs), which are crucial for efficient and profitable operation of shipboard power grids. To address this challenge, this paper introduces a novel hybrid forecasting approach that com...
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| Main Authors: | Paolo Fazzini, Giuseppe La Tona, Matteo Diez, Maria Carmela Di Piazza |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06153-z |
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