A description of 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 …
Accelerating the clean energy transition – workshop, European Parliament, June 27 – 16.00-18.00. Henrik Madsen is keynote speaker at a workshop in the European Parliament (EP) on June 27. Madsen will in his keynote presentation focus on the importance of ICT technologies in the overall energy transition. Buildings account for approximately one third of energy use and …
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.
