Electricity Consumption Prediction in Oil and Gas Equipment Service and Maintenance Workshops Using RNN LSTM
This research offers a Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) model for forecasting power usage in a facility that provides oil and gas equipment service and maintenance. The model was used using hourly electricity consumption data. The LSTM model was chosen because of its...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/63/e3sconf_icobar23_02089.pdf |