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# ForecastInterval
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**type** | **str** | |
**duration** | **int** | Length of the interval in minutes. |
**spot_per_kwh** | **float** | NEM spot price (c/kWh). This is the price generators get paid to generate electricity, and what drives the variable component of your perKwh price - includes GST |
**per_kwh** | **float** | Number of cents you will pay per kilowatt-hour (c/kWh) - includes GST |
**var_date** | **date** | Date the interval belongs to (in NEM time). This may be different to the date component of nemTime, as the last interval of the day ends at 12:00 the following day. Formatted as a ISO 8601 date |
**nem_time** | **datetime** | The interval's NEM time. This represents the time at the end of the interval UTC+10. Formatted as a ISO 8601 time |
**start_time** | **datetime** | Start time of the interval in UTC. Formatted as a ISO 8601 time |
**end_time** | **datetime** | End time of the interval in UTC. Formatted as a ISO 8601 time |
**renewables** | **float** | Percentage of renewables in the grid |
**channel_type** | [**ChannelType**](ChannelType.md) | |
**tariff_information** | [**TariffInformation**](TariffInformation.md) | | [optional]
**spike_status** | [**SpikeStatus**](SpikeStatus.md) | |
**descriptor** | [**PriceDescriptor**](PriceDescriptor.md) | |
**range** | [**Range**](Range.md) | | [optional]
**advanced_price** | [**AdvancedPrice**](AdvancedPrice.md) | | [optional]
## Example
```python
from amberelectric.models.forecast_interval import ForecastInterval
# TODO update the JSON string below
json = "{}"
# create an instance of ForecastInterval from a JSON string
forecast_interval_instance = ForecastInterval.from_json(json)
# print the JSON string representation of the object
print ForecastInterval.to_json()
# convert the object into a dict
forecast_interval_dict = forecast_interval_instance.to_dict()
# create an instance of ForecastInterval from a dict
forecast_interval_from_dict = ForecastInterval.from_dict(forecast_interval_dict)
```
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