Deciphering Energy Scenarios

Energy scenarios play a crucial role in informing public policy and companies about potential future developments in the energy sector. However, assessing these scenarios requires substantial expert knowledge, not only about energy but also about handling large amounts of data. The aim of this challenge is to lower the barrier to interacting with energy scenarios and, thereby, to allow non-experts to explore the fascinating world of possible energy futures.


Challenge Owner Energy Science Center

Postdate 16.07.2025


This challenge involves building a chatbot to interact with energy scenarios. The outcomes of the different scenarios are provided in a PostgreSQL database. Your chatbot should enable users to interact with the scenarios in a natural way. That is, users should be able to formulate questions in natural language. Using natural language processing, your approach will transform these questions into queries and process the results.