Flexible power consumption requires fully automated devices
Professor Henrik Madsen from DTU Compute believes that researchers and practitioners under the CITIES-project have broken the code for how electricity companies and other actors can enable flexible consumption. In an interview with ienergi.dk, published in July 2018, Madsen talks about automation, artificial intelligence, software and big data in the cloud. In Intelligent Energy, these research results are translated into in the process of designing future net tariffs, so they reward flexible customers.
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 …
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 solution “Smart Temperature Control of Greenhouses” is a tool developed to model and control the district heating supply temperature for industrial bio-organic production facilities. Greenhouses are consuming a vast amounts of energy for the production of bio-organics. For this purpose they also need a very specific temperature to ensure ideal growth conditions for …
