47 lines
732 B
Markdown
47 lines
732 B
Markdown
# Time series forecasting energy prices
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With features representing energy generation of various sources (oil/biomass/hydro)
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## Setup
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### Prerequisites:
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- Have a working version of `pip` preferably in Python 3.12
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### Steps
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1. Install `uv`
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```bash
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pip install uv
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```
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2. Create & activate virtual environment
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```bash
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uv venv .venv
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# on Windows
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.\.venv\Scripts\activate
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# on Linux:
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source .venv/bin/activate
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```
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3. Install the dependencies
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```bash
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uv pip install .
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```
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## Get hackin'
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Look in `tsforecast.ipynb`
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- Play around with some of the techniques
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- Seasonal decompose
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- SARIMA
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- XGBoost
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- LSTM
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- Try to beat my MAE on test set of ~0.31 (I used LSTM)
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