Research data for: Modeling behavioral ambiguity with multi-prototype representations for household characteristic identification and demand-side customer segmentation from smart-meter data

Published: 6 September 2026| Version 1 | DOI: 10.17632/ybrv5h87k6.1
Contributors:
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Description

This dataset contains author-created derived and aggregate research results supporting the associated article. It includes task definitions and class counts; taskwise and split-level predictive metrics; prespecified paired statistical comparisons; local representation-geometry summaries; aggregate temporal profiles and behavioral-crossover analyses; recurring-day archetype results; prototype-mode, stability and vulnerability summaries; and constrained-budget target-screening results. The files support numerical verification, secondary analysis and replotting of the reported aggregate findings. The restricted Irish CER source smart-meter and survey data, household identifiers, household-level predictions or embeddings, project code, model checkpoints and trained weights are not included. The source data remain available by request from ISSDA under DOI 10.7929/ISSDA/BX59EU. Because this is a derived-results package rather than an end-to-end reproduction package, the manuscript and documentation should be consulted for the full analytical protocol.

Files

Steps to reproduce

1. Read README_FIRST.txt and 00_Documentation/README_RESEARCH_DATA.txt. 2. Use MANUSCRIPT_DATA_CROSSWALK.csv to locate the files supporting a manuscript item. 3. Consult DATA_DICTIONARY.csv and the folder-specific README files for row units, keys and metric definitions. 4. Inspect or analyze the individual CSV files; all principal empirical figures and tables are supported by machine-readable aggregate or split-level data. 5. Verify file integrity with SHA256SUMS.txt when required. 6. End-to-end retraining requires separately authorized access to the CER source dataset and is outside the scope of this deposit because the source data and project code are not redistributed.

Categories

Electrical Engineering, Energy Engineering

Licence