⚡ metering

German energy metering domain library — Europe/Berlin calendar arithmetic, interval types, gas conversion (incl. G 685 rounding), billing period aggregation, SLP/RLM/iMSys classification, BDEW 2025 load profiles with Dynamisierung, Zählzeitdefinition resolution, MsbG rollout obligations, BSI TR-03109 SMGW lifecycle, virtual meters (§42b EnWG GGV Solarpaket I), resampling, forecasting with confidence bounds, and Hampel-filter quality scoring.

🧊 Zero I/O · ⏱️ no async · 🕰️ no clock · 🔢 exact decimal quantities

metering is a standalone, dependency-light domain crate. It performs no network or disk access, spawns no runtime, never reads the system clock, and never represents a metered quantity as a floating-point number. You bring the data; it does the arithmetic — deterministically, and with the regulatory basis documented at every call site.

It computes energy and volume, not money: there is no currency, price or tariff-rate type anywhere in the crate. What leaves here is kWh, m³ and kW, which a billing layer then prices.

📦 Installation

cargo add metering

or in Cargo.toml:

[dependencies]
metering = "0.15"

With serde support for all public types:

[dependencies]
metering = { version = "0.15", features = ["serde"] }

MSRV: Rust 1.94 (edition 2024). The MSRV is pinned in rust-toolchain.toml and verified by a dedicated CI lane.

⚠️ 0.15 is a breaking release. It fixes UTC-vs-Berlin bucketing, DST interval counts, a mislabelled OBIS constant and the ambient clock reads. See CHANGELOG.md for the full migration table.

🚀 Quick start

use metering::{AggregationConfig, MeterInterval, QualityFlag, aggregate};
use rust_decimal::dec;
use time::macros::datetime;

let intervals = vec![MeterInterval {
    from: datetime!(2026-06-01 0:00 UTC),
    to:   datetime!(2026-06-01 0:15 UTC),
    value_kwh: dec!(2.345),
    quality: QualityFlag::Measured,
    obis_code: Some("1-0:1.8.0*255".parse().unwrap()),
}];

let period = aggregate(&intervals, &AggregationConfig::rlm_strom());
println!("Arbeitsmenge:    {} kWh", period.arbeitsmenge_kwh);
println!("Spitzenleistung: {:?} kW", period.spitzenleistung_kw);
println!("Coverage:        {:.1} %", period.coverage_pct);

🗓️ Time is Europe/Berlin

The single most consequential thing this crate gets right. German metering periods are local calendar periods, and a German day is not 24 hours long:

use metering::{IntervalResolution, calendar};
use time::macros::{date, datetime};

// A day's real length — never assumed, always resolved.
assert_eq!(calendar::intervals_in_day(date!(2026 - 03 - 29), IntervalResolution::QuarterHour), Some(92));
assert_eq!(calendar::intervals_in_day(date!(2026 - 10 - 25), IntervalResolution::QuarterHour), Some(100));

// March 2026 holds 2 972 quarter-hours, not 31 × 96 = 2 976.
assert_eq!(calendar::intervals_in_month(date!(2026 - 03 - 01), IntervalResolution::QuarterHour), Some(2_972));

// A German day starts at 00:00 Berlin — 23:00 UTC the day before, in winter.
assert_eq!(calendar::day_start_utc(date!(2026 - 01 - 15)), datetime!(2026-01-14 23:00 UTC));
assert_eq!(calendar::day_start_utc(date!(2026 - 07 - 15)), datetime!(2026-07-14 22:00 UTC)); // CEST
assert_eq!(calendar::day_length(date!(2026 - 10 - 25)).whole_hours(), 25);

Two failure modes this removes from every downstream consumer:

• Grouping on the UTC date books the first hour (winter) or two hours (summer) of every German day into the previous one — wrong daily and monthly totals for every customer on every day, not just at the transitions. A §13 StromNZV Mehr-/Mindermengensaldo computed on UTC months is wrong every month.
• Assuming 96 intervals per day raises a false alarm every spring and, worse, masks a genuine four-interval gap every autumn — 96 of an expected 100 looks complete.

resample() buckets Day/Month/Year through this module, so expected_count is 92 or 100 on the transition days automatically. Because a calendar period has no fixed second count, IntervalResolution::fixed_seconds() returns None for Day, Month and Year rather than an approximation.

The rules come from the IANA tz database via time-tz, so historical transitions are right too — Germany's 1980 switch was on 6 April, not the last Sunday in March.

🕰️ Determinism

No function in this crate reads the system clock, the filesystem or the network. Where a timestamp is needed it is a parameter:

use metering::{MeasurementSeries, MeasurementSource};
use time::macros::datetime;

let series = MeasurementSeries::new(
    "51238696780",
    None,
    vec![],
    MeasurementSource::ManualEntry { operator_id: "ops-1".into(), reason: "correction".into() },
    datetime!(2026-01-02 09:30 UTC), // ← supplied, never sampled
);

A clock read is ambient state in the same family as I/O: it makes construction non-deterministic, so two values built from identical inputs are never equal and no storage layer can write a round-trip test. Callers that have a clock pass OffsetDateTime::now_utc(); callers replaying an archive pass the archived instant and get the archived value back. just purity (and a CI job) greps non-comment source for clock reads, I/O and unsafe so the guarantee cannot regress silently.

🗂️ Modules at a glance

🧱 Design constraints

🔢 Where f64 is and is not

The crate is not float-free, and claiming so would be false. The rule is which number reaches a bill:

Every value in the first row is exact decimal arithmetic end to end — no intermediate is ever converted to f64 and back. The second row is deliberately f64: a threshold, a percentage and a median-absolute-deviation are comparisons and diagnostics, not amounts, and a Hampel filter in Decimal would buy nothing but a sqrt implementation.

The one place they meet is documented at the call site: the V04 spike rule converts a value to f64 only to compare it against the f64 spike_factor. The comparison decides whether to flag an interval; it never alters one. Forecast confidence bounds are likewise f64-derived and explicitly informational — projected_annual_kwh itself stays exact Decimal.

🧩 Core types

MeterInterval

A single timestamped energy reading:

pub struct MeterInterval {
    pub from: OffsetDateTime,       // UTC, inclusive
    pub to:   OffsetDateTime,       // UTC, exclusive
    pub value_kwh: Decimal,
    pub quality: QualityFlag,
    pub obis_code: Option<ObisCode>, // parsed, not a string
}

obis_code is a parsed ObisCode, so the same channel identifier has the same type and value wherever it appears and MeterInterval::obis_code == MeasurementSeries::obis_code is a comparison rather than a parse that might fail on data already accepted. Parse at the boundary — "1-0:1.8.0*255".parse()? — and a malformed code is rejected there, where the message is still available to report.

iv.berlin_day() gives the Europe/Berlin calendar day for grouping.

Sparte and MeasurementUnit

pub enum Sparte          { Strom, Gas, Waerme, Wasser }
pub enum MeasurementUnit { KiloWattHour, CubicMetre }

A Sparte has two units, and conflating them is a correctness bug:

A gas meter registers volume; its energy content is derived from Brennwert and Zustandszahl (gas_m3_to_kwh_hs). requires_conversion() lets an ingest path require those parameters before storing a value in an energy column.

Wasser is the one Sparte billed in a volume — water has no calorific value, so the gas conversion does not apply to it. For the heat share of warm water see HeizkostenV §9 Abs. 2.

Wire units vs storage units

Storage is canonical — exactly two units reach a database, so no consumer has to know the table below exists. The wire is liberal, because real devices are:

MeasurementUnit::parse("MWh")         // None — would need rescaling
MeasurementUnit::parse_scaled("MWh")  // Some(UnitScale { KiloWattHour, 1000, 1 })

No German law prescribes a unit for heat meters. MID Annex VI (MI-004) has no units clause, and EN 1434-1 cl. 6.3.1 permits "Joules, Watt-hours or decimal multiples of those units" — so a GJ meter is exactly as compliant as a kWh one. German heat meters ship with kWh, MWh or GJ registers depending on the ordered variant (ista sensonic 3 is sold in both kWh and GJ; Zenner multidata WR3 offers MJ), and water submeters commonly report litres. The register unit is therefore device metadata, not a constant.

UN/ECE Rec 20 codes are also accepted, and their mnemonics do not follow the unit symbols:

Rec 20 also assigns GJ to gram per millilitre. This crate reads GJ as gigajoule, since no Sparte modelled here carries a density; callers emitting Rec 20 codes should send GV.

The GJ and MJ factors are held as exact rationals, not decimals: 1 GJ is 277.7… kWh, so a Decimal factor would lose precision on every reading. UnitScale::apply multiplies before dividing, making 3.6 GJ exactly 1000 kWh.

parse rejects anything needing a rescale, so a caller must go through parse_scaled to obtain a factor.

QualityFlag (8 variants)

🔥 Gas conversion: m³ → kWh_Hs

Implements the Brennwertkorrektur formula per §25 Nr. 4 MessEV / DVGW G 685:

use metering::gas_m3_to_kwh_hs;
use rust_decimal::dec;

// kWh_Hs = m³ × Hs × Z  (rounded to 6 dp)
let kwh = gas_m3_to_kwh_hs(dec!(100), dec!(10.55), dec!(0.9764));

gas_m3_to_kwh_hs_rounded applies the published Netzbetreiber rounding practice (G685Rounding: z to 4 dp, Hs to 3 dp, final result configurable).

🚿 Warm water → heat energy (HeizkostenV §9 Abs. 2)

warm_water_heat_kwh(volume_m3, mean_temp_c, WarmWaterAdjustments::NONE)
warm_water_heat_kwh_unmetered(flaeche_m2, adjustments)

Q [kWh/a] = 2.5 × V [m³] × (t_w [°C] − 10)      // Satz 2, metered volume
Q [kWh/a] = 32 × A_Wohn [m²]                    // Satz 4, floor area

Both are fallbacks. §9 Abs. 2 Satz 1 requires a Wärmezähler; Satz 2 applies only where measurement is possible "nur mit einem unzumutbar hohen Aufwand", and Satz 4 only "in Ausnahmefällen" where neither the heat quantity nor the volume can be measured.

These are Zahlenwertgleichungen — numerical-value equations, not dimensionally consistent — so the constants carry no unit, and they bundle different things:

Because the Erzeugeraufwandszahl sits inside both constants, Q is generator-input heat, not delivered useful heat.

t_w is "die gemessene oder geschätzte mittlere Temperatur" — an estimate is permitted and no default or cap is prescribed. A_Wohn is the "Wohn- oder Nutzfläche", not living area alone.

WarmWaterAdjustments

A struct of flags rather than an enum: §9 Abs. 2 Satz 6 applies these to the result of "den Zahlenwertgleichungen in Satz 2 oder 4" and does not make them exclusive, so a heat-pump system under eigenständige gewerbliche Wärmelieferung takes both. eigenständig is a term of art (cf. §1 Abs. 1 Nr. 2); ordinary commercial heat supply does not qualify.

A warm-water meter therefore carries two quantities: the m³ billed as water, and the kWh this apportions out of the building's heating bill. The metered and floor-area forms are separate functions rather than one Option parameter, because they are different evidentiary categories.

🔍 Validation engine (V01–V11)

use metering::{ValidationConfig, validate_intervals};

let result = validate_intervals(&intervals, &ValidationConfig::default());
println!("Issues:         {}", result.issues.len());
println!("Billing blocked: {}", result.billing_block_count());

validate_intervals is order-independent: the adjacency rules (V01, V02, V05, V07, V10) are evaluated in timestamp order whatever order you supply, so a shuffled series no longer produces a cascade of spurious gap and overlap errors. The disorder itself is reported once as V11 (a warning, not a billing block), and interval_index on every finding still points into your slice, not the internal ordering.

🩹 § 60 Abs. 2 MsbG substitute value generation

use metering::{FillGapsConfig, fill_gaps, fill_gaps_with_config, project_annual_consumption};

// Automatic: linear for short gaps, carry-forward for long
let filled = fill_gaps(&intervals, 900, period_from, period_to);

// Prior-period averaging per § 60 Abs. 2 MsbG
let filled = fill_gaps_with_config(
    &intervals, 900, period_from, period_to,
    &FillGapsConfig::prior_period(prior_week_intervals),
);

// Annual forecast (Jahresprognose) — None for an empty input series
if let Some(forecast) = project_annual_consumption("MALO_ID", &intervals, None) {
    println!("Projected annual kWh: {}", forecast.projected_annual_kwh);
    // 95 % bounds are diagnostics — `None` with fewer than two observed days
    println!("95 % CI: {:?} … {:?}",
        forecast.confidence_lower_kwh, forecast.confidence_upper_kwh);
}

The projection scales the daily average to the target year's real length — 366 days in a leap year, not a flat 365, which would understate a leap-year Jahresprognose by 0.27 %. Daily sums are grouped by Berlin calendar day, matching how they are settled.

📉 Resampling

use metering::{ResampleConfig, calendar, resample};

// Down-sample 15-min RLM data to Berlin calendar months (MaBiS § 13 StromNZV)
let monthly = resample(&intervals, &ResampleConfig::to_monthly());
for bucket in &monthly {
    println!("{}: {} kWh ({} of {} intervals, {:.1} %)",
        calendar::local_month(bucket.from),
        bucket.total_kwh,
        bucket.interval_count,
        bucket.expected_count,   // 2 972 for March 2026, not 2 976
        bucket.coverage_pct());
}

Buckets are half-open [from, to) UTC instants over Berlin calendar periods; expected_count comes from the bucket's real duration, so DST is handled without the caller knowing it happened. ResampleConfig carries both the source and target resolution as typed IntervalResolutions.

☀️ Virtual meters (§42b EnWG GGV — Solarpaket I)

Both GGV variants compute the tenant's net grid draw after PV allocation, satisfying §42b Abs. 5 EnWG sentence 2: the allocated PV energy can never exceed the tenant's actual consumption in any 15-minute interval. This is enforced by the Pos() = max(0, x) operator per the BDEW "Anwendungshilfe Berechnungsformeln Solarpaket 1" (v1.0, 25.01.2024).

Formula overview

Constant allocation (BDEW Beispiel 1 — UTILTS CCI+ZG6):

net_grid_draw_i[t] = max(0, tenant_consumption_i[t] - fraction_i × plant_generation[t])

Proportional allocation (BDEW Beispiel 3 — variable ratio):

ratio_i[t]         = tenant_consumption_i[t] / Σ all_tenant_consumption_j[t]
                     (0 if denominator = 0 — zero-division protected)
net_grid_draw_i[t] = max(0, tenant_consumption_i[t] - ratio_i[t] × plant_generation[t])

Constant allocation (Beispiel 1 — UTILTS CCI+ZG6)

use metering::{AggregationRule, compute_virtual_meter};
use rust_decimal::dec;

// Tenant receives 10 % of plant generation; result = net grid draw
let rule = AggregationRule::GgvConstantAllocation {
    plant_melo_id: "MELO_PLANT".into(),
    tenant_melo_id: "MELO_T2".into(),
    fraction: dec!(0.10),
};
let net_grid_draw = compute_virtual_meter(&rule, &sources)?;
// Each interval: max(0, tenant_consumption - 0.10 × plant_generation)
// Examples:
//   gen=10, consumption=5   → max(0, 5 - 1)   = 4  (1 kWh covered by PV)
//   gen=10, consumption=0.5 → max(0, 0.5 - 1) = 0  (§42b cap: no negative draw)

Proportional allocation (Beispiel 3 — variable ratio)

let rule = AggregationRule::GgvProportionalAllocation {
    plant_melo_id: "MELO_PLANT".into(),
    tenant_melo_id: "MELO_T2".into(),
    all_tenant_melo_ids: vec!["MELO_T2".into(), "MELO_T3".into()],
};
let net_grid_draw = compute_virtual_meter(&rule, &sources)?;
// ratio = T2_consumption / (T2 + T3); net = max(0, T2 - ratio × generation)
// zero-division protected: if all consumptions are 0 → net = 0

sources is a HashMap<String, Vec<MeterInterval>> mapping MaLo / MeLo ID to its sorted series. Only timestamps present in all required series are emitted (intersection semantics) — a gap in any source propagates rather than silently producing a wrong total.

Energy balance check (plant feed-in)

The residual plant feed-in (grid export from PV) equals:

plant_feedin[t] = plant_generation[t] - Σ (tenant_consumption_i[t] - net_grid_draw_i[t])
               = plant_generation[t] - Σ pv_allocated_i[t]

Available rules: Sum, Residual (§42a EEG), PvSelfConsumption, GgvConstantAllocation, GgvProportionalAllocation (§42b EnWG Solarpaket I).

🔐 BSI TR-03109 SMGW lifecycle

let session = SmgwSession { device_id, status, certificates, cls_channels, .. };

// Certificate expiry (BSI TR-03109-4 §6.3 — renew ≥ 30 days before expiry)
let expiring = session.expiring_certificates(today, 30);

// §14a CLS channel compliance
assert!(session.has_section_14a_cls());

// Communication fault detection (triggers § 60 Abs. 2 MsbG substitute)
if session.is_communication_fault(2) { // 2h threshold
    // create Sonderablesung reading order
}

🧮 Billing period aggregation

use metering::{AggregationConfig, aggregate};

let agg = aggregate(&intervals, &AggregationConfig::rlm_strom());
println!("kWh total:    {}", agg.arbeitsmenge_kwh);
println!("Spitzenlast:  {:?} kW", agg.spitzenleistung_kw);
if let Some(split) = &agg.ht_nt {
    println!("kWh HT:       {}", split.ht_kwh);
    println!("kWh NT:       {}", split.nt_kwh);
}

AggregationConfig presets

The HT window is a TariffWindow, so hour and weekday are both read in Europe/Berlin local time — .with_ht_window(TariffWindow::MON_SAT_0600_2200) swaps it. Reading the hour locally but the weekday in UTC (as an earlier version did) misclassifies the hours either side of local midnight at the week boundaries. For the general §14a EnWG case use zaehlzeit::Zaehlzeitdefinition.

🏷️ SLP/RLM/iMSys classification

pub fn classify_messtyp(
    malo: &MaloId,
    jahresverbrauch_kwh: Decimal,
    sparte: Sparte,
) -> Messtyp

🔢 OBIS medium (value group A)

ObisCode::is_heat, is_water and is_heat_cost_allocator follow the DLMS/COSEM Blue Book media list that OMS Spec Vol. 2 adopts:

A = 8 is water, not heat. An HCA (A = 4) reports dimensionless Verbrauchseinheiten and carries no Eichfrist — HeizkostenV §5 Abs. 1 Satz 3 admits it as an apportionment device precisely because it measures no unit.

A test asserts every named constant satisfies the predicate its name implies — WAERME_ENERGY was 8-0:1.0.0 through 0.14, so a heat register reported is_water() and inherited water's daily default resolution instead of hourly.

⚖️ Mehr-/Mindermengensaldo

pub fn compute_imbalance(
    actual_kwh: Decimal,
    contracted_kwh: Decimal,
) -> ImbalanceSaldo

ImbalanceSaldo carries mehr_kwh, minder_kwh and the signed delta_kwh = actual − contracted, plus is_mehr() / is_minder().

Consuming above the profile is a Mindermenge — the NB supplied the shortfall and invoices it (LF owes NB). Consuming below it is a Mehrmenge, which the NB vergütet (NB owes LF). Basis: § 13 StromNZV.

📊 Hampel-filter quality scoring

score_intervals runs a Hampel filter over a time-ordered slice of intervals and returns a QualityReport (gaps, outliers, zero runs, coverage, grade):

use metering::{QualityConfig, Sparte, score_intervals};

let report = score_intervals(&intervals, QualityConfig::for_sparte(Sparte::Strom));
println!("Grade:    {:?}", report.grade);
println!("Coverage: {:.1} %", report.coverage_pct);
println!("Outliers: {}", report.outlier_intervals.len());

Media-aware thresholds

min_sigma guards MAD implosion: across a flat window the median absolute deviation is 0, so t × sigma is 0 and every nonzero value scores as an outlier. hampel_filter_with_floor exposes the same guard as a primitive.

QualityGrade

Low-level primitives are exported too: hampel_filter (raw outlier indices), hampel_filter_with_floor, and score_intervals_f64 / score_intervals_raw for callers that already hold f64 samples (e.g. straight out of a database).

🔤 String forms

Sparte, MeasurementUnit, QualityFlag and QualityGrade each have one stable code that as_str(), Display, FromStr and the serde tag all agree on, so a value written to a log, a CLI argument or a database column reads back as itself:

use metering::{QualityFlag, Sparte, IntervalResolution};

assert_eq!(QualityFlag::Substituted.as_str(), "SUBSTITUTED");
assert_eq!("substituted".parse::<QualityFlag>().unwrap(), QualityFlag::Substituted);

// IntervalResolution uses ISO 8601 durations, so Custom(n) round-trips too.
assert_eq!(IntervalResolution::QuarterHour.to_string(), "PT15M");
assert_eq!("PT900S".parse::<IntervalResolution>().unwrap(), IntervalResolution::QuarterHour);

A test walks Sparte::ALL, QualityFlag::ALL, MeasurementUnit::ALL and LoadProfile::ALL asserting from_str(x.as_str()) == x and that all codes are distinct, so a new variant cannot ship with a half-wired mapping. Unrecognised input is a parse error, never a silent Unknown — the latter is a statement about the measurement, the former about the message.

Every FromStr in the crate returns the same ParseError, so a decoder needs one ? chain rather than three map_err calls:

use metering::{ObisCode, ParseError, QualityFlag, Sparte};

fn decode(sparte: &str, quality: &str, obis: &str)
    -> Result<(Sparte, QualityFlag, ObisCode), ParseError>
{
    Ok((sparte.parse()?, quality.parse()?, obis.parse()?))
}

let err = decode("STROM", "MEASURED", "nope").unwrap_err();
assert_eq!(err.type_name(), "ObisCode"); // which column was bad

🔓 Enum exhaustiveness

Domain enums are exhaustive; only error enums are #[non_exhaustive]. A deliberate choice, and the opposite of the usual library default.

#[non_exhaustive] buys the library freedom to add variants without a major version and charges the consumer a wildcard arm. That wildcard is where the cost lands: when a new Messtyp, SubstituteMethod or QualityFlag appears, a consumer mapping this vocabulary onto their own storage codes wants their build to break so a human decides what it means. With a wildcard they get a silent fallback instead — a reading filed under the wrong Messtyp, a substitute value attributed to the wrong method. For a crate whose output ends up on an invoice, a compile error at upgrade time is much the cheaper failure.

Error enums are the opposite case, so VirtualMeterError is #[non_exhaustive]: a consumer that wildcards an unfamiliar error still reports a failure, which is correct.

The consequence, stated plainly: adding a variant to a domain enum is a breaking change here and will be released as one. Exhaustive match and iteration over ALL are supported patterns.

🔒 Serde representation stability

With serde enabled, the emitted representation — enum tags and struct field names — is part of the public API and covered by semver. Persisting these values means relying on a wire format, so a rename is a breaking change and will be released as one.

tests/serde_representation.rs pins every tag literally, so the commitment is mechanical rather than a promise:

assert_eq!(to_string(&QualityFlag::Measured)?,  "\"MEASURED\"");
assert_eq!(to_string(&Sparte::Waerme)?,         "\"WAERME\"");
assert_eq!(to_string(&ObisCode::WAERME_ENERGY)?, "\"6-0:1.0.0*255\"");

Adding a new variant is not breaking for writers and may ship in a minor release; it is breaking for older readers — the usual open-enum trade-off. If you would rather not couple your storage to this crate at all, define your own codes with an exhaustive match, so a new upstream variant breaks your build rather than your data.

🎛️ Feature flags

🧪 Testing

cargo test --all-features

The suite covers: gas conversion (DVGW G 685, incl. the published NB rounding examples), aggregation (RLM/SLP/Gas), Messtyp classification, imbalance arithmetic, the V01–V11 validation engine (DST transitions, V07 ambiguity, plant-capacity ceiling, order-independence), § 60 Abs. 2 MsbG substitute methods and forecast confidence bounds, resampling, §42b EnWG GGV virtual meters (Beispiel 1 constant + Beispiel 3 proportional, Pos() cap, zero-division guard), §42a Residuallast, BSI TR-03109 SMGW + CLS lifecycle, Zählzeitdefinition resolution, MsbG §29/§45 rollout classification, BDEW 2025 profile Dynamisierung, measurement series provenance, register + ObisCode — plus property tests and three integration suites:

🛠️ Dev tasks

A justfile wraps the common commands (just):

just            # list all recipes
just ci         # fmt-check + lint + purity + test + doc + package
just test       # cargo test --all-features
just lint       # clippy with -D warnings, default + all features
just purity     # assert no clock read, no I/O, no unsafe in src/
just msrv       # compile on the pinned MSRV
just doc-open   # build the docs and open them

Or plain cargo:

cargo fmt --all -- --check
cargo clippy --all-targets --all-features -- -D warnings
cargo test --all-features
cargo doc --no-deps --all-features

📚 Regulatory basis

• §3, § 12 StromNZV — SLP/RLM classification thresholds
• § 12 StromNZV — Spitzenleistung definition for RLM
• § 60 Abs. 2 MsbG — Ersatzwertbildung + Jahresprognose (substitute values + annual forecast)
• § 60 Abs. 6 MsbG — 3-year provenance retention (MeasurementSeries, ProvenanceEntry)
• § 13 StromNZV — Mehr-/Mindermengensaldo
• §25 Nr. 4 MessEV / DVGW G 685 — Gas Brennwertkorrektur
• §41a EnWG — 15-Minuten-Lastgang and iMSys Pflichteinbau
• §42a/§42b EEG — Residuallast / GGV community solar virtual meters
• §42c EnWG — Energy-Sharing metering eligibility
• §14a EnWG — Steuerbare Verbrauchseinrichtungen (CLS channels, Zählzeitdefinition)
• §29 / §45 MsbG — iMSys Pflichteinbaufälle and the Rollout-Fahrplan quotas
• HeizkostenV §9 Abs. 2 — Warmwasser-Wärmemenge Zahlenwertgleichungen
• BDEW Anwendungshilfe SLP Strom (17.03.2025) — H25/G25/L25/P25/S25 profiles and Dynamisierung rounding
• BDEW Anwendungshilfe Berechnungsformeln Solarpaket 1 (v1.0, 25.01.2024) — GGV allocation examples
• BSI TR-03109 — Smart Meter Gateway lifecycle and certificates

ℹ️ This crate implements arithmetic and classification rules derived from the sources above. It is not legal advice and carries no warranty of regulatory compliance — verify against the current Gesetzestext for your use case.

🤝 Contributing

Issues and pull requests are welcome at github.com/hupe1980/metering.

Please make sure just ci passes before opening a PR. New regulatory rules should cite their Rechtsgrundlage in a doc comment and come with a test derived from a published example wherever one exists.

📄 License

Licensed under either of

• Apache License, Version 2.0 (LICENSE-APACHE)
• MIT license (LICENSE-MIT)

at your option.

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in this crate by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.