Energy “What if” Analysis requires prediction and PredictEnergy® uses scenarios based on the energy cube to enable prediction. Scenarios are powerful stories with events and actions taken to reach a goal… in our case an energy cost goal. PredictEnergy® allows the user to evaluate and determine the best energy cost using scenarios.

The scenario path may be modified to target the desired decision path or “What If” path. Depending on the energy cost decision users of PredictEnergy® may vary the scenario or “What if” process to optimize for the best energy cost.   The user may vary the key energy cost parameters based on their evaluation, changing the path as needed to solve for the best solution.

Reducing Energy Costs with Energy “What if” Analysis

Energy cost is the primary economic driver of energy management decisions and analysis. PredictEnergy® calculates energy cost using the facility utility rate and the facility energy consumption and demand.  This exposes energy cost to the facility staff ensuring that their focus is on cost, and enabling them to drive energy use decision making against actual energy cost information. Energy “What if” Analysis enable forecasting of energy costs and analysis by providing power use optimization and real-time visibility of energy cost.

Energy "What-if" scenarios D2

PredictEnergy® provides Energy “What if” Analysis on key energy cost performance variables to provide the best electricity cost decision.  Scenarios can be run on a wide range of key performance variables, such as:

The user may vary the cost performance variables, then optimize on each to provide the best energy cost outcome based on the users “What if?” selections.