You can access the API by sending standard HTTP requests to the endpoints listed below. To quantify the pounds of CO2 emissions avoided by load-shifting, you would multiply your time-series of shifted energy usage (counterfactual MWh less actual MWh equals shifted MWh) by the MOER timeseries (CO2 lbs/MWh), then sum the result.
SHIFTED ENERGY HOW TO
A common example of how to use the MOER value is to quantify the avoided emissions of a decision (manual or automated) to use energy at a different time than you otherwise would have (load-shifting). If you’re curious about what you can do with marginal emissions data, see our ‘what we do’ page, where you can dive into the various use cases. For a deeper understanding of how we produce marginal emissions rates, see our methodology page. This MOER represents the emissions rate of the electricity generator(s) which are responding to changes in load on the local grid at a certain time. The marginal emissions rate we provide is a Marginal Operating Emissions Rate ( MOER), in units of pounds of emissions per megawatt-hour (e.g. The WattTime API provides access to real-time, forecast, and historical marginal emissions data for electric grids around the world. WattTime technology-based on real-time grid data, cutting-edge algorithms, and machine learning-provides first-of-its-kind insight into your local electricity grid’s marginal emissions rate.
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