Struct CostTimeSeries 

pub struct CostTimeSeries {
    pub time_series_identification: AttrV<DocumentId>,
    pub business_type: AttrV<CostBusinessType>,
    pub direction: Option<AttrV<Direction>>,
    pub product: AttrV<Product>,
    pub connecting_area: Option<ControlZoneRef>,
    pub resource_object: Option<ResourceObjectRef>,
    pub period: Period,
}

A single cost time series within a Kostenblatt.

Fields

time_series_identification: AttrV<DocumentId>

Unique time-series identifier (max 35 chars).

business_type: AttrV<CostBusinessType>

Cost type.

direction: Option<AttrV<Direction>>

Direction (optional — absent for startup/fixed costs).

product: AttrV<Product>

Product (always active power 8716867000016).

connecting_area: Option<ControlZoneRef>

Control zone of the resource (optional).

resource_object: Option<ResourceObjectRef>

Resource object identifier (BDEW resource code, NDE scheme; optional).

period: Period

Quarter-hour cost data for the delivery day.

Trait Implementations

impl Clone for CostTimeSeries

fn clone(&self) -> CostTimeSeries

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CostTimeSeries

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for CostTimeSeries

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for CostTimeSeries

fn eq(&self, other: &CostTimeSeries) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for CostTimeSeries

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for CostTimeSeries