GCA-BULF: A Bottom-Up Framework for Short-Term Load Forecasting Using Grouped Critical Appliances
arXiv 2604.24766•9d632220dedd4dc0664d9f3e730d02e1069259f660519931cf07fd002ed7752d
ai-safetyalignmentappliance-monitoringenergy-forecastingfinancial-forecastinghealthcare-mlllmsmachine-learningmedical-aimodel-monitoringobservabilityphonocardiographypreference-optimizationprivacyqaoaquantum-computingreinforcement-learningsmall-modelssmart-meteringtransformers
Paper metadata
- arXiv ID
- 2604.24766
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- 9d632220dedd4dc0664d9f3e730d02e1069259f660519931cf07fd002ed7752d
- Enrichment time
- 2026-04-29T08:52:13Z
- AI-assisted enrichment
- Yes
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