Highly Accurate Short-Term Gas Consumption and Elapsed Time Forecasting Using Multi-Channel Deep Neural Network
Accurate gas consumption and elapsed time forecasting can help decision-makers detect anomaly gas usage and notify users to recognize the facility fault in real-time. However, it is challenging due to its variable and complex factors. This paper proposed a novel deep model, named multi-channel DNN (...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9622209/ |