Energy Consumption Synthesis through Time-Series Image Representation: A GAN-Based Approach
Time-series forecasting is a longstanding problem, continually evolving with new methodologies. A significant portion of today's data consists of timestamped measurements, such as stock prices, medical monitoring, application logs, weather records, and energy consumption data. Most deep-learnin...
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| Muut tekijät: | , , , |
| Aineistotyyppi: | Pro gradu |
| Kieli: | eng |
| Julkaistu: |
2024
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| Aiheet: | |
| Linkit: | https://jyx.jyu.fi/handle/123456789/95942 |