Multi-objective home energy management system with realistic load classification and multi-source uncertainty modeling: A robust optimization approach

Ahmed M. Zaytoun

doi:10.1016/j.jprocont.2026.103722

Multi-objective home energy management system with realistic load classification and multi-source uncertainty modeling: A robust optimization approach

2026-04-07

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Ahmed M. Zaytoun *

I

Islam A. Abdul Maksoud

S

Sherif I. Rabia

DOI：10.1016/j.jprocont.2026.103722

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• 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

Multi-objective home energy management system with realistic load classification and multi-source uncertainty modeling: A robust optimization approach

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