DualDRNet: A Unified Deep Learning Framework for Customer Baseline Load Estimation and Demand Response Potential Forecasting for Load Aggregators
Accurately valuing demand-side flexibility hinges on two tightly coupled tasks: reconstructing the customer baseline load (CBL) that would have occurred in the absence of demand-response (DR) events and, from that baseline, forecasting the flexibility of load that can be curtailed. Existing studies...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2025-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11175367/ |
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