Huang et al., 2023 - Google Patents
Explainable district heat load forecasting with active deep learningHuang et al., 2023
View HTML- Document ID
- 13414447613253813303
- Author
- Huang Y
- Zhao Y
- Wang Z
- Liu X
- Liu H
- Fu Y
- Publication year
- Publication venue
- Applied Energy
External Links
Snippet
District heat load forecasting is a challenging task that involves predicting future heat demand based on historical data and various influencing factors. Accurate forecasting is essential for optimizing energy production and distribution in district heating systems …
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- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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