Investigating the Weather impact on Power Outages

To accelerate the development towards a Smart Grid, one of the challenges that the Dutch grid operator Liander has is to improve continuous power delivery. Liander has researched the correlation between weather conditions and power outages, which can be further used to predict the outages and take proactive actions to prevent them from happening. Given the large scale of the datasets involved, and potential future use cases, Liander developed several building blocks to analyze the data. To retrieve and redistribute climate and weather data, a generic API was built in Python. It allows its users to quickly attain the desired data in an unambiguous and uniform representation, in the format of their choosing. This API is also used in other analytics, e.g. load forecast. In this presentation we show you what we did, whether it was successful, and what we have learned during the process, as well as our next steps.

This lecture is made possible by Info Support B.V.