Computational design study demonstrates interactive visual analytics for energy scenario modeling, indicating improved policy evaluation through human-in-the-loop workflows.
HighlightsVisual analytics framework for human-in-the-loop energy scenario modeling.• Modular "Filter-Prioritize-Upgrade" workflow replaces black-box optimization.• Multivariate glyphs and streamgraphs consolidate high-dimensional energy data.• Synchronized comparison mode enables side-by-side evaluation of policy plans.• Provenance tracking via remote database supports persistent strategy auditing.
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Laksono et al. (2026) studied this question.
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