Solution#3: Smart Meter Data Analytics

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 consumption to develop them even further by investigating different approaches to analysis of smart meter data.

The hope is to develop a method that can characterize an average consumption for each profile and indicate if a specific consumption realization is above or below the average profile. This helps identify consumers who have a high or low consumption and quantify consumption in a monetary setting directly to the consumer or for energy optimization consultancy – but also to help reduce peak demands in energy consumption.


Enriched insights into customers consumption profiles will give an opportunity to reduce consumption – and thereby costs – and increase the potential amount of renewable energies which is supplied to a given consumer.

ikon20Solution insights

So far, the demonstration project has identified different approaches for analyzing smart meters readings. These counts i.a. 1) energy signatures/labels of building, 2) advanced knowledge about energy savings, 3) the opportunity to detect and deal with uncertainties and 4) splitting total readings into space heating and domestic hot tap water usage.


architecture model

ikon6Further information

The project of CITIES Research Center is expected to continue on improving the solution throughout 2017.

By 2020 every electricity consumers in Denmark will be equipped with digital smart meters that automatically reports energy consumption at least every 15 minutes, which expands the observations tremendously and makes it possible to profile consumption on a much more detailed level. Current classifications have more than 130 different profiles and by using these technological classification techniques the number of profiles can be reduced and specified.

The solution is connected to the projects on analysis of heating data and energy demand modelling in buildings.



Alfred Heller   Associate Professor in Civil Engineering, Deputy Center Manager at CITIES Research Project  at DTU Byg

+ 45 45251861
Involved partners
Syd Energi

Member since September 2013

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Contact person Jakob Andreasen + 45 70115000
DTU Management Engineering

Member since June 2013

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Why is DTU Management Engineering part of CITIES?

DTU Management Engineering is part-taking in demonstration projects and research through its’ Systems Analysis Division. Furthermore, Senior Researcher Per Sievert Nielsen is Operations Manager for CITIES Innovation Center.

What role does DTU Management Engineering have in the project?

As a core-partner, we bring expertise in the foremost research related to cities, regional and global energy development, economic studies and modelling of energy and climate change.

What do DTU Management Engineering expect to gain from being part of the project?

We strive to make CITIES Innovation Center a worldwide strong player in integration of energy systems in urban settings related to decision making policy and thus support city policies and national as well as international agreements.

Contact person Per Sievert Nielsen + 45 46775289
Dansk Energi

Member since September 2013

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Contact person Fannar Thordarson

DTU Compute

Member since September 2013

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Why is DTU Compute part of CITIES?

As core-partner, DTU Compute is part of CITIES to accelerate its activities in the fields of renewable energy, in particular forecasting methods for wind energy, and demand response in power systems, as well as the use of smart data (data analytics) for the characterisation of buildings and supermarket refrigeration units.

What role does DTU Compute have in the project?

We provide invaluable contributions to CITIES through our expertise in modelling, treatment and management of data, statistics, forecasting and control. Furthermore our Head of Section, Prof. Henrik Madsen is the center leader of CITIES and some of our finest researchers are involved in demonstration projects.

What do DTU Compute expect to gain from being part of the project?

DTU Compute expects to be able to conduct valuable academic research in collaboration with partners.

Contact person Henrik Madsen + 45 45253408
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