Residential electricity load forecasting using deep learning tech
In this work, we adopt the multi-scale deep learning framework TimesNet, which embeds attention mechanisms to capture both short and long-term temporal dependencies of residential electricity demand. By fusing historical consumption data together with exogenous factors like temperature, humidi...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
| Published: |
Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182955 |
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| Institution: | Nanyang Technological University |
| Language: | English |