For the first time, renewable energy generation beat out coal in the US

• gridstatus

  6 246 8.8 Python

  Extract data from ISOs and other energy grid sources

Long-term trends clearly demonstrate the energy grid’s transition to renewable energy sources.

However, renewables like solar and wind come with unique challenges due to their intermittent nature. They are more variable, harder to forecast, have location constraints, and can benefit from battery storage. These factors lead to a more dynamic grid than before.

For instance, several regions in the country provide five-minute updates on their energy generation mix, enabling near real-time observations of renewable energy effects throughout the day

For example, numerous regions across the country provide updates on their energy generation mix at five-minute intervals, allowing for close to real time observations of these effect of renewables throughout the day.

To help those involved in the energy transition, I created an open-source project called Grid Status (https://github.com/kmax12/gridstatus) that provides fuel mix, wholesale pricing, load, load forecasts, and more.

Additionally, I've developed real-time visualizations to make this data more accessible and easier to comprehend: https://www.gridstatus.io

I hope making this data more accessible and understandable will accelerate the transition away from fossil fuels.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project