---
title: Offshore Wind Power Prediction
url: https://www.ml-quant.com/papers/ssrn/5254054/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5254054
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5254054
featured: 2025-05-14
citations: unknown
topic: Econometrics & Forecasting
---


# Offshore Wind Power Prediction

The Informer, a new deep learning algorithm, is used for ultra-short-term offshore wind power prediction, effectively extracting features and capturing sequence dependency from long time-series data.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5254054
- Identifier: SSRN 5254054
- Released: 2025-05-14
- First featured: Quant Letter No. 97 (2025-05-14): https://www.ml-quant.com/issues/2025-05-14/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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