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Electricity, Heat, and Gas Load Forecasting Based on Deep Multitask Learning in Industrial-Park Integrated Energy System
Different energy systems are closely connected with each other in industrial-park integrated energy system (IES). The energy demand forecasting has important impact on IES dispatching and planning. This paper proposes an approach of short-term energy forecasting for electricity, heat, and gas by emp...
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| Veröffentlicht in: | Entropy (Basel) |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7760282/ https://ncbi.nlm.nih.gov/pubmed/33266198 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22121355 |
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