The project on dynamic prices for heat delivery to district heating systems includes research on cloud-based solutions, the foremost know how of integration of energy systems and market studies. A description of the project is coming soon. In the meantime please read more here
Everyone talks about AI and machine learning, but a demo project with a water tower shows that a model with stochastic differential equations can describe energy flexibility surprisingly well with just a few intuitive parameters. If the CO2 emission is to be reduced, the proportion of renewable energy sources must be significantly increased. If at …
The load forecast solution for greenhouses is an offline model structure built on data from energy consumption and weather observations. The load forecast solution for greenhouses, is build on the collection of data from greenhouse consumers and weather observations to derive an offline model structure for load forecasting in greenhouses. Thus, the solution established an …
