Latent-Space Dynamics for Prediction and Fault Detection in Geothermal Power Plant Operations

This paper presents a latent-space dynamic neural network (LSDNN) model for the multi-step-ahead prediction and fault detection of a geothermal power plant’s operation. The model was trained to learn the dynamics of the power generation process from multivariate time-series data and the effects of e...

Full description

Bibliographic Details
Main Authors: Cladouhos, T.T (Author), Jafarpour, B. (Author), Ling, W. (Author), Liu, Y. (Author), Young, R. (Author), Zia, J. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher