---
title: ML & Deep Learning for Electricity Price Forecasting
url: https://www.ml-quant.com/papers/ssrn/4547250/
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 4547250
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4547250
featured: 2023-08-24
citations: unknown
topic: Econometrics & Forecasting
---


# ML & Deep Learning for Electricity Price Forecasting

The paper introduces a seasonal attention mechanism through the BiLSTM model, improving forecasts of extreme prices in the British electricity market.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4547250
- Identifier: SSRN 4547250
- Released: 2023-08-21
- First featured: Quant Letter No. 13 (2023-08-24): https://www.ml-quant.com/issues/2023-08-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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