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Multi-objective home energy management system with realistic load classification and multi-source uncertainty modeling: A robust optimization approach
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DOI：10.1016/j.jprocont.2026.103722.png)
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Abstract
En 中文
• Developed a day-ahead robust multi-objective HEMS optimization model for residential energy use. • Proposed realistic load classification covering duration uncertainty and power profiles. • Addressed uncertainties in PV output, electricity prices, and appliance operation times. • Integrated PV, ESS, and EV systems into a unified MILP framework with bidirectional flow. • Introduced a novel normalization method for evaluating time-based user discomfort.
Keywords:
robust optimization
home energy management system
realistic load classification
multi-source uncertainty modeling
normalized user discomfort
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3.9
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3.4K
Citations:
7.3K
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