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UnitTrack · Disclosure-controlled report
Electric — Small City
Rivertown Electric (synthetic)
Generated 2026-07-28 00:39 ·
Grouped by census tract · k = 15
Residual re-identification risk
worst case 0% · None
0/56
Census tract groups published
0.0%
of meter reads in published output
56
groups withheld by disclosure control
15/15 rule
≥15 contributors; no single customer over 15%
Contents
Disclosure control & data provenance
Grouping the dataset into 56 census tract groups, 0 were safe to publish and 56 were withheld under the rules below. Across 1800 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
1800
Loaded reads
0 rejected & quarantined
2.8%
Estimated reads
utility estimate flag
0.4%
Negative usage
rollovers / net metering
256
High outliers
Tukey 1.5·IQR (1977)
Anomalies are flagged, not dropped; rows failing validation are quarantined as rejected. 12 reads (0.7%) lack coordinates and are excluded from spatial views.
Methods & authorities
-
Minimum-count (k-anonymity) — 56 groups withheld
(triggered by your minimum group size k = 15).
Sweeney, k-anonymity (2002); ESSnet/Eurostat SDC Handbook (Hundepool et al.) — minimum-frequency / threshold rule · Meets/exceeds: CA CPUC D.14-05-016 ("15/15"); IL 220 ILCS 33
-
PII handling — identifiers are excluded from the analytic
path; only disclosure-controlled aggregates are reported.
NIST SP 800-122; NISTIR 8053
Published results
| Census tract | Total consumption (kWh) | Contributors | Status |
|---|---|---|---|
| Tract 8.04 | * | — | Withheld |
| Tract 23.15 | * | — | Withheld |
| Tract 23.04 | * | — | Withheld |
| Tract 23.23 | * | — | Withheld |
| Tract 7 | * | — | Withheld |
| Tract 23.27 | * | — | Withheld |
| Tract 23.14 | * | — | Withheld |
| Tract 23.13 | * | — | Withheld |
| Tract 23.25 | * | — | Withheld |
| Tract 23.26 | * | — | Withheld |
| Tract 10 | * | — | Withheld |
| Tract 13.07 | * | — | Withheld |
| Tract 13.12 | * | — | Withheld |
| Tract 6.01 | * | — | Withheld |
| Tract 9.01 | * | — | Withheld |
| Tract 9.02 | * | — | Withheld |
| Tract 3.09 | * | — | Withheld |
| Tract 23.20 | * | — | Withheld |
| Tract 24.03 | * | — | Withheld |
| Tract 16.05 | * | — | Withheld |
| Tract 16.02 | * | — | Withheld |
| Tract 4.01 | * | — | Withheld |
| Tract 21.11 | * | — | Withheld |
| Tract 24.11 | * | — | Withheld |
| Tract 23.21 | * | — | Withheld |
| Tract 8.01 | * | — | Withheld |
| Tract 21.09 | * | — | Withheld |
| Tract 19.11 | * | — | Withheld |
| Tract 14.02 | * | — | Withheld |
| Tract 13.09 | * | — | Withheld |
| Tract 16.03 | * | — | Withheld |
| Tract 14.03 | * | — | Withheld |
| Tract 4.02 | * | — | Withheld |
| Tract 24.48 | * | — | Withheld |
| Tract 21.10 | * | — | Withheld |
| Tract 14.01 | * | — | Withheld |
| Tract 3.07 | * | — | Withheld |
| Tract 8.02 | * | — | Withheld |
| Tract 6.07 | * | — | Withheld |
| Tract 23.10 | * | — | Withheld |
| Tract 20.03 | * | — | Withheld |
| Tract 13.04 | * | — | Withheld |
| Tract 11.01 | * | — | Withheld |
| (no location) | * | — | Withheld |
| Tract 11.02 | * | — | Withheld |
| Tract 13.11 | * | — | Withheld |
| Tract 19.23 | * | — | Withheld |
| Tract 24.47 | * | — | Withheld |
| Tract 21.07 | * | — | Withheld |
| Tract 24.44 | * | — | Withheld |
| Tract 3.08 | * | — | Withheld |
| Tract 24.13 | * | — | Withheld |
| Tract 20.02 | * | — | Withheld |
| Tract 5 | * | — | Withheld |
| Tract 23.22 | * | — | Withheld |
| Tract 13.08 | * | — | Withheld |
Consumption profile
Total consumption by census tract — published groups (kWh)
Consumption distribution & inequality
0.856
Gini coefficient
Gini 1912; Lorenz 1905
6.619
Coefficient of variation
std ÷ mean
21621
Median use / account (kWh/yr)
across 150 accounts
21
High outliers
Tukey 1.5·IQR
Lorenz curve — cumulative use vs. cumulative accounts
Percentiles (kWh/yr)
| 10th | 11770 |
| 25th | 15482 |
| Median | 21621 |
| 75th | 40203 |
| 90th | 126199 |
Customer class × month
Total consumption — class (rows) × month (columns); blanks were suppressed (kWh)
Weather & seasonality
10.6%
Weather-sensitive (cooling-driven)
ASHRAE G14; PRISM
0.0% / 100.0%
Heating / cooling split
of weather-driven use
151149
Weather-normalized annual
restated at normal year
0.963
Model fit (R²)
degree-day regression
E = 12886 + -8.6589·HDD + 5.9056·CDD · base 65°F · 12 months
Seasonal use — 36.2% above winter baseline, peak Aug
Average monthly consumption vs. winter baseline (kWh)
Winter-baseline (minimum-month) method. Standard seasonal decomposition.
Demand & load
0.296
Median load factor
across 150 buildings
381
Coincident peak (kW)
hour 20:00
0.27
Coincidence factor
NREL UMP Ch.10
3.71
Diversity factor
1 ÷ coincidence
Peak demand by hour of day (summed customer peaks; tallest = system coincident peak)
Load factor by class
| Class | Buildings | p25 | Median | p75 |
|---|---|---|---|---|
| RESIDENTIAL | 122 | 0.242 | 0.281 | 0.32 |
| COMMERCIAL | 24 | 0.381 | 0.402 | 0.426 |
| INDUSTRIAL | 4 | * | * | * |
Load factor: utility load research; NREL UMP. Coincidence/diversity: NREL UMP Ch.10; BPA M&V. Small classes withheld (k-anonymity).
Benchmarking — Energy Use Intensity
34.0
Median EUI (kBtu/ft²/yr)
EPA ENERGY STAR; DOE/EIA CBECS
146
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)
| Class | Bldgs | p25 | Median | p75 | vs nat'l |
|---|---|---|---|---|---|
| RESIDENTIAL | 122 | 22.4 | 34.5 | 61.8 | 115% |
| COMMERCIAL | 24 | 14.2 | 25.3 | 42.0 | 36% |
| INDUSTRIAL | 4 | * | * | * | * |
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.
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 →Measurement & verification (IPMVP Option C)
Baseline model fit on 6 months before Jul 2023; savings measured over the following 6 reporting months. Synthetic demo with no intervention — avoided energy near 0% is the method working correctly.
-7.0%
Avoided energy
-5487 kWh/meter
78008
Adjusted baseline (CBL)
kWh/meter expected
83495
Reporting actual
kWh/meter metered
0.981
Baseline fit (R²)
degree-day model
Reporting period: metered actual vs. adjusted baseline (kWh/meter)
IPMVP Option C (EVO 10000-1:2016); ASHRAE Guideline 14; base-65°F degree days (US EIA / NOAA).
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 ±1.0 across 30 groups.
True vs. differentially private counts by geography
Laplace mechanism, ε-differential privacy. Dwork, McSherry, Nissim & Smith (2006); Dwork & Roth (2014); US Census Bureau 2020 DAS.
Appendix — policy & citations
Disclosure-control settings
| Governing standard | 15/15 rule |
| Minimum group size (k) | 15 |
| Dominance (top-n ≤ p) | 1 ≤ 0.15 |
| Min accounts for models | 15 |
| Grouping | Census tract |
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 · 2026-07-28 00:39.