Accurately predicting a building’s future energy usage by learning from history is useful when managing building energy use, preparing budgets, or when measuring and verifying the results of a pursued energy efficiency measure.
What if building energy use could be accurately predicted using machine learning without previous knowledge of a building's energy use?
What if AI could parse about recommended retrofits to improve building energy efficiency for building owners and operators directly and provide pragmatic, accurate advice on projects to implement, removing energy efficiency experts (and the associated cost) from the equation.