# 02 - Renewable Energy Forecasting with ML: Python LSTM for Solar & Wind

LSTM models for solar and wind production forecasting: feature engineering, training and production deployment.

## What you'll learn

- EnergyTech Series Overview
- Fundamentals of Energy Forecasting
- Feature Engineering for Solar
- Feature Engineering for Wind
- LSTM Encoder-Decoder Architecture for Solar

*This article is part of the **EnergyTech** series on federicocalo.dev.*

---

## Read the full article

The complete article (27 min read) with code examples, diagrams, and practical exercises is available here:

**➡️ [02 - Renewable Energy Forecasting with ML: Python LSTM for Solar & Wind](https://federicocalo.dev/en/blog/renewable-energy-forecasting-ml-python-lstm-solar-wind)**

`https://federicocalo.dev/en/blog/renewable-energy-forecasting-ml-python-lstm-solar-wind`

---

*By [Federico Calò](https://federicocalo.dev) — Software Developer & Technical Writer*