A-ENERGY™

The Future of Energy will be decarbonized, digitized, distributed and electrified. This will require real time analysis of machine, sensor, operational and biophysical data across the grids, so that dynamic electrical grid planning, optimization and risk management solutions can be deployed at scale.

03 Energy_Fallback_Image.jpg

Solution
Architecture


Operational Planning


Operational Optimization


Operational Risk Management

 
 

OPERATIONAL PLANNING

A-FORECAST™

Machine learning platform to predict energy market prices from supply and demand space-time anomalies, per energy market sub-system.

 

OPERATIONAL PLANNING

A-NOWCAST™

Machine learning platform that uses RIPPLES™ daily soil humidity datasets at 100m x 100m resolution to quantify the river-flow feeding hydropower dams in near real time.

 

OPERATIONAL OPTIMIZATION

A-DEMAND™

Machine learning platform that uses RIPPLES™ daily temperature datasets at 100m x 100m resolution to quantify the spatial temperature distribution driving changes in either the cooling or heating energy demand.

 

OPERATIONAL RISK MANAGEMENT

A-RESERVOIR™

Machine learning platform that is able to reconstruct the net 3D volume available in hydro-power reservoirs for energy generation, in order to assess the effective energy rating level of the generation asset.