Code supporting "Deep learning of temporal renewable energy patterns for optimizing Power-to-X processes."

Collin Smith; Huey Xin Loong; Han You Low; Oliver Cook; Laura Torrente‐Murciano

doi:10.17863/cam.122030

Code supporting "Deep learning of temporal renewable energy patterns for optimizing Power-to-X processes."

Apollo (University of Cambridge) 2026 Open access

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Authors: Collin Smith, Huey Xin Loong, Han You Low, Oliver Cook, Laura Torrente‐Murciano

DOI: 10.17863/cam.122030

Cited by: 0

Abstract

This code describes the generation of training data from renewable energy profiles and the training of neural networks to predict the characteristics of the profiles. Code is written in MATLAB. See uploaded README for further details.

Fields of Study & Subjects

Hybrid Renewable Energy Systems Energy Load and Power Forecasting Integrated Energy Systems Optimization

Publication details

Journal / source: Apollo (University of Cambridge)
Publication date: 17 February 2026
Language: EN