Jaume Palmer Real is a PhD student at DTU COMPUTE – Department of Applied Mathematics and Computer Science – at the Technical University of Denmark.
In his YouTube-video, he tells about his PhD project: Stochastic Differential Equations (SDE) for Modeling Energy Systems Integration – and about how to use SDEs to understand energy efficiency in buildings.
Please share with your network!
The solution for analysis of heating data is an analytical tool for treating and integrating of big data collected from smart meters, socio-economic data, energy informations and building models. This treatment tool enables to quantify and characterize energy consumption of entire districts and cities.
The solution “Energy demand modeling in buildings” offers methodologies for the modeling of energy demand and flexibility potentials for whole districts and cities. It includes a tool for bottom-up classification of buildings in a given area into certain types, which can be sum up and modeled by aggregation to ensure higher energy flexibility.
The smart house controller solution includes a cloud-based approach for integration of energy systems powered by the intelligent use of data. The smart house controller is a facilitator, not only of smarter energy consumption in domestic houses, but also for a better integration of different energy source supplies. Further description and insights into the project …
