Energy data analytics

Intelligent algorithms examine and evaluate the data measured by CLEMAP energy meters or third-party sensors as part of energy data analytics .

Drawing insights from Big Data

In smart buildings, insight into your energy data is the basis for numerous processes. Insight alone, however, is not enough to draw insights from Big Data. To achieve this, CLEMAP uses its numerous analytics modules to conduct in-depth energy data analytics analyses. These analyses identify, for example, unused potentials, point out possible failures or break down consumption by device category.

Load shifting, peak shaving and other analytics modules

In the Smart Buildings area, you can choose from the following analytics modules:

  • Energy monitoring: comprehensive and in-depth monitoring of various measuring points, including comparison with each other.
  • Energy cost calculation: estimate based on consumption per consumer incl. cost calculation of the consumption peak
  • Load shifting: intelligent consumer control to regulate overall consumption and prevent simultaneous use
  • Peak shaving: Reduction of consumption peaks in the building incl. automatic switching off of certain loads.
  • Load disaggregation: Allocation of energy consumption per consumer from a single central measurement.
  • Alarm functions: Alarms for high or low consumption values as well as temporal identification of peak withdrawals.

The modules listed can be booked individually or bundled. The visualisation of the findings is either done via CLEMAP Floem or sent to you via PDF report.

Reference projects

In the following reference projects and application examples, you can find out about the many ways in which our smart energy solutions are used. We will be happy to find a suitable solution for your project.

Customer reviews


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