Further description and insights into the project is coming soon.
In the meantime, please read more here
Henrik Madsen
Professor for Applied Mathematics and Computer Science, Center Manger of CITIES Research Project at DTU Compute
Smart Meter Data Analytics is a solution project aiming to investigate data mining of smart meter electricity consumption data in order to improve forecasting and money-saving opportunities for customers. The aim of the solution on Smart meter data analytics, is to gather socioeconomic, demographic and weather data and insight into the profiles and classifications of …
When the Danish politicians this fall negotiate green tax reform, they should look at #tariffs. Nothing is stronger than a well-designed price signal when you want to promote flexible energy consumption, writes Henrik Madsen in this opinion in Teknologiens Mediehus GridTech. Today, tariffs make up a large part of the Danish consumers’ electricity bills. The pure …
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 …
