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.
Electricity prices and wind power production have a large impact on the production of district heating in Denmark. Researchers at DTU have made a smart-decision making tool; helping district-heating suppliers to choose the right kind of heat production technology at the right time and buy or sell electricity at the right prices.
The research in CITIES finally comes to an end after seven years of research. Now one of our partners ‘NREL’ points out in a report their support to CITIES with references to four scientific papers and the establishment of Center Denmark. NREL – National Renewable Energy Laboratory National Renewable Energy Laboratory – operated by Alliance for Sustainable …
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 …