Demand side management in Smart Grids

In order to avoid failures in electricity supply, such as darkening or partial blackouts during peak hours, operators of electricity transmission systems and distribution systems traditionally increase electricity production by building new power plants and transmission routes. Similarly, price uncertainty is present on the electricity market.

KIBERnet – Virtual Power System

As an alternative and complementary solution to new investments, KIBERnet provides a solution for demand-side energy management. Based on the monitoring data on consumption of electricity, the system automatically disconnects the specified load (or activates dispersed sources) to ensure the optimum state of supply and demand while providing financial savings to all target groups of users.

KIBERnet system allows users to become active players in smart grids by activating flexibility on their own consumption and electricity for the benefits of all stakeholders on the electricity market.


PeakEMS is designed for consumers / producers of electricity and offers:

  • electric peak demand leveling by shutting down and redistribution of loads,
  • optimal management of their own resources to produce electricity,
  • optimal (time redeployment) management of energy-intensive processes,
  • control and management of reactive power compensation,
  • control of electricity consumption and the state of the electrical loads.

PeakEMS can be implemented in a variety of industrial environments; current deployments are present in the metal processing, wood processing, textile, glass, paper, rubber, food, and other industries.

PeakEMS is modular and can be implemented either as a standalone solution or as part of the inEIS energy management system.


There is no universal solution in computer control of the energy sector and industry that would suit all the companies! Because our client is our partner and we work with many different industries, we understand your needs and are able to provide you with customized solution.

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