An Architecture to Improve Energy-Related Time-Series Model Validity Based on the Novel rMAPE Performance Metric
In this paper, an architecture based on computational intelligence for time series modeling is proposed to guarantee the automatic adjustability of trained models no matter the dynamic behavior of the modeled phenomena. Time series are widely used to plan and execute operational and strategic tasks...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10092751/ |