We are working in the field of large scale energy systems what inherently defines that our problems are complex and large. Our research focuses on the integration of new technologies especially in the field of renewable energies. We use data driven techniques and are trying to build up a knowledge graph of the energy systems in question which should be input for machine learning methods to understand systems interaction.
I hope to get inside of how to efficiently use Neo4J for large scale fine grained spatio-temporal data. Especially the use of geospatial data.