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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |