📣 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.

Data-driven reliability assessment method of Integrated Energy Systems based on probabilistic deep learning and Gaussian mixture Model-Hidden Markov Model (2021)

First Author: Chi L

Attributed to: MaxImiSing flexibility through multi-Scale IntegratiON of energy systems (MISSION) funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.renene.2021.04.102

Publication URI: http://dx.doi.org/10.1016/j.renene.2021.04.102

Type: Journal Article/Review

Parent Publication: Renewable Energy