This solution creates opportunity for energy managers to formulate dynamic
business rules for energy consumption based on demand and exception rather
than a pre-fixed timer or template. By having contextual data ingested from the edge,
Raptor can command and allow for deviations and unforeseen instances to be
dynamically calibrated to allow for system self-rectification.
By using IoT as an energy saving approach, one can monitor and measure power
consumption and based on this data allow for artificial intelligence and machine learning to
optimally actuate and control sub-systems to alleviate energy wastage,
Once the businesses power factor has been lowered and savings become a reality, that
capital may be used to revamp energy sources and migrate to a greener and more
sustainable energy source.