WattTime

WattTime is a provider of electricity grid-related data, to assist with identifying emissions reductions. Through the WattTime Connector, you can materialize the following points in your graph:

• Index
  • MOER
• Historical
  • MOER
  • AOER
  • Health Damages
• Forecast
  • MOER
  • Health Damages

Use Cases

Potential use cases include:

• Comparing projected energy usage against baselines
• Identifying cycles to optimize energy usage schedules

Configuration

The authorization for the WattTime Connector utilizes the WattTime API username and password:

Credential	Description
Username	The username registered with the WattTime API
Password	The password registered with the WattTime API
This connector allows you to select which of the points you wish to materialize in your graph when you are first configuring the connector. The connector runs on the following intervals:

• Historical Points: Every 1 minute, polling for the previous minute's data. If not available, it will attempt to look back up to 72 hours to find newest data
• Index Points: Every 15 minutes
• Forecast Points: Every 1 day, with a horizon of 24 hours { //Forecast Timeseries Payload "forecast": [ //"data" in the forecast response { "point_time": "2024-02-27T16:40:00+00:00", "value": 208.6 }, { "point_time": "2024-02-27T16:45:00+00:00", "value": 208.6 }, { "point_time": "2024-02-27T16:50:00+00:00", "value": 191.4 } //And so on ], "period": 300, // meta.generated_at_period_seconds "generatedAt": "2024-02-27T16:40:00+00:00", //meta.generated_at "forecastHorizonHours": 24 //from the request configuration }

Mapped Concepts

Connector Concept	Mapped Type
Electrical Grid	Electrical_Grid_Region
HIistorical	Average_GHG_Emissions_Rate, Electricity_GHG_Emissions_Health_Damage, Marginal_GHG_Emissions_Rate
Index	Marginal_Operating_Emissions_Rate_Index

Sample Code

This connector is tied to an electrical grid, as opposed to a specific building, so you have to go a slightly different route to retrieve the data from the building level. The building will be a part of the grid, so we'll use isPartOf to get to the grid level, then filter to the specific grid using the place ID. We'll then find the points associated with the grid to get the various electrical data:

{
  buildings(filter: {id: {eq: "BLDG81uBVj9UZ1XmSgtyKxABCD"}}) {
    id
    name
    isPartOf(filter: {id: {eq: "PLCFABybzfaoZgpa6KwML1234"}}) {
      id
      name
      exactType
      hasPoint {
        id
        name
        series(latest: true) {
          value {
            float64Value
          }
          timestamp
        }
      }
    }
  }
}