Short description: How to shift buildings energy consumption from peak time (/high prices) to off-peak(/low price) through machine learning. This would give considarable monetary savings and CO2 emmisions reduction.
Market potential: The solution can be implemented in all buidling types eg. residential, offices, factories through out the world.
Timing: As soon as possible.
Desired result: Cost effective hardware and software package that can be both retrofitted to existing buildings and newly constructed.
Information on challenge owner: Micro SME working on Building and process of automation.
Keywords: Building Automation Software; Internet of Things; Digital Systems, Digital Representation; Artificial Intelligence (AI)