Intelligent buildings as the cornerstone of the energy transition.
Demand-side management (DSM) involves controlling and optimizing how and when energy is used by consumers. It encourages users to reduce or shift their energy usage during peak times to help balance the overall energy system. This approach can save costs, reduce the need for additional power plants, and support the integration of renewable energy sources.
Data-driven control uses real-time data and algorithms to make decisions about how systems should operate. Instead of relying solely on pre-set rules, it continuously learns and adapts based on the data it receives. This approach allows systems, like heating or cooling in buildings, to work more efficiently by responding to current conditions..
Energy flexibility refers to the ability of a building or system to adjust its energy consumption in response to changes in energy availability, such as renewable energy production or electricity prices. For example, a flexible system might use more energy when solar power is abundant and reduce usage during peak demand times. This helps balance the overall energy grid and supports the integration of renewable energy sources.