RL Core Technologies Inc.

Published purpose

The EL Smith drinking water treatment plant in Edmonton Alberta has been outfit with a large solar array and battery bank to both reduce non-renewable power consumption and increase electrical grid stability. This requires intelligent software to manage when to charge the batteries, when to supply solar and battery power to the water plant, and when to provide excess power to the grid. Many factors make it difficult for human operators to manually control operations, including: plant shut-downs and start-ups, current price of electricity, grid demand and stability, drinking water demand , and of course course weather. The goal of this project is to build a machine learning based controller to optimize this complex process.