Ensemble learning for electricity consumption forecasting in office buildings
This paper presents three ensemble learning models for short term load forecasting. Machine learning has evolved quickly in recent years, leading to novel and advanced models that are improving the forecasting results in multiple fields. However, in highly dynamic fields such as power and energy sys...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10400.22/18463 |
| Country: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/18463 |