Energy management in retail
How retail and logistics companies can use AI to reduce both CO₂ emissions and costs.
Our solution: Balancing Energy Network
As a rule, conventional energy management solutions are used to aggregate and display energy-related data, which is then analyzed manually. By contrast, the Balancing Energy Network is a smart energy management system that uses artificial intelligence (AI) not only to analyze the flow of power but also to control the power consumption of production machinery on the basis of dependable generating and load forecasts.
With the Balancing Energy Network from Bosch.IO, retail and logistics companies can reduce their CO₂ emissions and energy costs while tapping the full potential of energy efficiency in building technology, in logistics, and in stores. And they can achieve this without losing sight of their business goals. Given the existing volatilities in power generation, companies can defer part of their energy consumption to periods when self-generated, green power is available in sufficient or surplus quantities. This new solution also considers factors such as meteorological data and shift plans in order to draw up enhanced production schedules. In addition, load forecasts provide information about future energy requirements and thus create optimal conditions for the purchase of power.
Alongside reducing the cost of power drawn from the grid, the Balancing Energy Network also helps reduce the CO2 emissions generated by companies. By connecting the solution to a heating supply or charging infrastructure for electric vehicles, they can improve their energy efficiency even further.