---
# System prepended metadata

title: Meeting Minute
tags: [Meeting, Documentation]

---

Meeting Minute
===

###### tags: `Meeting` `Documentation`

:::info
- **Date:** 18-12-2019
- **Contact:** Martina <martina.cavallucci11@gmail.com>


:::


:books: Useful links
---
- [Climate Data Online Search](https://www.ncdc.noaa.gov/cdo-web/search)
- [Colab Notebook Electricity consumption prediction](https://colab.research.google.com/github/datascienceunibo/dialab2019/blob/master/Regressione_Lineare/Regressione_Lineare.ipynb)
- [Predict Electricity Consumption using Time Series analysis](https://towardsdatascience.com/predict-electricity-consumption-using-time-series-analysis-4650284e40aa)
- [Machine learning for predictive maintenance: where to start?](https://medium.com/bigdatarepublic/machine-learning-for-predictive-maintenance-where-to-start-5f3b7586acfb)

:mag: Initial Question
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1. What does Aren do?
2. What would interest Aren?
3. Is there interest in predicting energy production?
4. Is there interest in predicting plant failures?
5. What data? How many? Quality? Are they "variables"? Format?

:bulb: Possible Machine Learning Method
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- Linear Regression
- Time Series Analysis 
- Classification Problem 