PredictEnergy® Features

PredictEnergy® Features for Cost Analytics

Explore our PredictEnergy features for energy cost analytics

PredictEnergy® analytics software allows operation managers to determine energy cost changes by tariff schedule, equipment, process, technology deployment and more. Explore our PredictEnergy® features below.

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Energy Cost Analytics

Applying utility cost to energy use and unit production is crucial to energy analytics. PredictEnergy® combines these three factors to provide both the insight into what's driving your energy costs and the ability to run scenarios to model differing parameters to reduce your energy costs.  The crucial piece is looking at your energy cost - not just your energy consumption.  Integrating utility tariff rates with actual energy use enables staff to make process decisions against real-time energy cost.

Energy Composite Views

PredictEnergy® analytics include Energy Composite Views that provide the visualization needed for straightforward energy cost reduction decision making. Energy Composite Views display facility power, distributed generation (often solar) and utility power key performance indicators (KPIs), by organizational unit and organizational role, date, location, climate, etc. C-Level staff require energy cost performance information rolled up, permitting a performance view across an enterprise, so the Enterprise View displays corporate wide energy use and product specific performance for a fast and easy view of total energy, energy/product performance, highs/lows and deviation from set norms or goals.

Asset Manager

Applying utility cost to energy use and unit production is crucial to energy analytics. PredictEnergy® combines these three factors to provide both the insight into what's driving your energy costs and the ability to run scenarios to model differing parameters to reduce your energy costs.  The crucial piece is looking at your energy cost - not just your energy consumption.  Integrating utility tariff rates with actual energy use enables staff to make process decisions against real-time energy cost.

What-If Energy Analysis

What-If energy analysis begins with building the energy cube, and then pivoting on key energy cost performance variables to provide the best electricity cost decision.  Scenarios can be run on a wide range of performance variables, including energy used, demand, energy, shifts and resources, and production data. As the performance variables are manipulated, PredictEnergy® optimizes for each variable to provide the best energy cost outcome.

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