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

By Federico Calò — Software Developer & Technical Writer