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Electric — Address-only extract

Lakeside Electric — billing export (synthetic)
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UnitTrack · Disclosure-controlled report

Electric — Address-only extract

Lakeside Electric — billing export (synthetic)
Generated 2026-07-27 20:32 · Grouped by month · k = 15
Residual re-identification risk
worst case 0% · None
0/11
Month groups published
0.0%
of meter reads in published output
11
groups withheld by disclosure control
15/15 rule
≥15 contributors; no single customer over 15%
Contents
  1. Disclosure control & data provenance
  2. Consumption profile
  3. Weather & seasonality
  4. Benchmarking (EUI)
  5. Energy burden & equity
  6. Differential privacy (alternative release)
  7. Appendix — policy & citations

Disclosure control & data provenance

Grouping the dataset into 11 month groups, 0 were safe to publish and 11 were withheld under the rules below. Across 4800 meter reads, 0.0% of records and 0.0% of total total consumption remain in the published output, with worst-case re-identification risk of 0% (None).

Data quality & reliability
4800
Loaded reads
0 rejected & quarantined
4.0%
Estimated reads
utility estimate flag
0.3%
Negative usage
rollovers / net metering
690
High outliers
Tukey 1.5·IQR (1977)

Anomalies are flagged, not dropped; rows failing validation are quarantined as rejected. 4800 reads (100.0%) lack coordinates and are excluded from spatial views.

Methods & authorities
  • (n,k)-dominance — 11 groups withheld (triggered by your top-1 dominance limit p = 15%).
    ESSnet/Eurostat SDC Handbook §4.2 (Hundepool et al.) — sensitive cells in magnitude tables
  • PII handling — identifiers are excluded from the analytic path; only disclosure-controlled aggregates are reported.
    NIST SP 800-122; NISTIR 8053
Published results
Month Total consumption (kWh) Contributors Status
2023-09 * Withheld
2023-08 * Withheld
2023-06 * Withheld
2023-07 * Withheld
2023-10 * Withheld
2023-05 * Withheld
2023-12 * Withheld
2023-11 * Withheld
2023-04 * Withheld
2023-03 * Withheld
2023-02 * Withheld
Explore live →

Consumption profile

Total consumption by month — published groups (kWh)
Consumption distribution & inequality
0.836
Gini coefficient
Gini 1912; Lorenz 1905
6.721
Coefficient of variation
std ÷ mean
21111
Median use / account (kWh/yr)
across 400 accounts
65
High outliers
Tukey 1.5·IQR
Lorenz curve — cumulative use vs. cumulative accounts
Percentiles (kWh/yr)
10th10603
25th15002
Median21111
75th35230
90th108902
Customer class × month
Total consumption — class (rows) × month (columns); blanks were suppressed (kWh)
Explore distribution live →

Weather & seasonality

Seasonal use — 37.4% above winter baseline, peak Sep
Average monthly consumption vs. winter baseline (kWh)
Winter-baseline (minimum-month) method. Standard seasonal decomposition.
Explore weather live →

Benchmarking — Energy Use Intensity

0.0
Median EUI (kBtu/ft²/yr)
EPA ENERGY STAR; DOE/EIA CBECS
0
Buildings benchmarked
floor area & ≥ 2 months
1 kWh = 3.412 kBtu; 1 therm = 100 kBtu (EIA)
reference constants v2024.1
EUI distribution across buildings (published classes)
By customer class (site EUI, kBtu/ft²/yr)
ClassBldgsp25Medianp75vs nat'l
Within-dataset EUI percentiles vs. class peers. “vs nat'l” is coarse all-fuel context (CBECS 2018 / RECS 2020), not the ENERGY STAR 1–100 score. Small classes withheld.
Explore benchmarking live →

Energy burden & equity

Every census tract was suppressed — no tract had at least 15 accounts with an ACS median income on record.

Explore burden live →

Differential privacy — an alternative release

An alternative to suppression: instead of hiding small groups, calibrated Laplace noise is added to each count (ε = 1.0, scale b = 1.0) so no individual's presence can be inferred while totals stay useful. Mean absolute error ±0.7 across 3 groups.

True vs. differentially private counts by customer class
Laplace mechanism, ε-differential privacy. Dwork, McSherry, Nissim & Smith (2006); Dwork & Roth (2014); US Census Bureau 2020 DAS.
Explore differential privacy live →

Appendix — policy & citations

Disclosure-control settings
Governing standard15/15 rule
Minimum group size (k)15
Dominance (top-n ≤ p)1 ≤ 0.15
Min accounts for models15
GroupingMonth
Standards & sources cited
  • k-anonymity — Sweeney (2002); ESSnet/Eurostat SDC Handbook
  • (n,k)-dominance — ESSnet SDC Handbook §4.2; CPUC 15/15
  • Inequality — Gini (1912); Lorenz (1905)
  • Spatial — Moran (1950); Cliff & Ord (1973)
  • Weather / M&V — ASHRAE Guideline 14; IPMVP Option C; PRISM
  • Benchmarking — EPA ENERGY STAR; DOE/EIA CBECS/RECS
  • Load — NREL UMP; BPA M&V Peak Demand
  • Burden — ACEEE; US Census ACS
  • Differential privacy — Dwork et al. (2006); US Census 2020 DAS
  • PII — NIST SP 800-122; NISTIR 8053; NIST SP 800-188
  • Methods & Formulas — every rule & analysis with its formula-as-implemented and primary citation

Synthetic sample data — for demonstration, not distribution. Generated by UnitTrack, a Polish Clover Solutions product · 2026-07-27 20:32.