📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems (2024)

First Author: Arsene C

Attributed to: Multi-energy Control of Cyber-Physical Urban Energy Systems (MC2) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.ijepes.2024.110111

Publication URI: http://dx.doi.org/10.1016/j.ijepes.2024.110111

Type: Journal Article/Review

Parent Publication: International Journal of Electrical Power & Energy Systems