PredictEnergy™ Release Notes

PredictEnergy® version 1.9.3 Release Notes PredictEnergy® has released v1.9.3, providing improved visualization and active decision making for your DER Asset Performance. Here’s What’s New: Asset Manager Portfolio Dashboard   PredictEnergy® provides improved visualization and  active decision making of your DER asset performance.  The Portfolio Dashboard monitors Performance Ratio (Actual vs. Expected KWh output)  to notify…

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HelioPower Installs Sharp’s Energy Storage System and PredictEnergy®

Behind-the-meter energy storage system expected to save Blisterpak an estimated $42,000 per year on utility bills LOS ANGELES – OCTOBER 5, 2016 – HelioPower, Inc., a leading energy solutions provider, is pleased to announce that it has installed Sharp’s SmartStorage® behind-the-meter energy storage solution at the Southern California manufacturing and distribution facility of Blisterpak, Inc.,…

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Electric Power Quality

Electric Power Quality PredictEnergy™ is an energy management system that monitors electric power quality in addition to distributed energy resources and load centers.  Clean, stable and reliable power that is maintained within voltage and frequency tolerances is mandatory for commercial and industrial users. The quality of the power supplied by our local utility is something…

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Wastewater Energy Cost Reduction with PredictEnergy®

South San Francisco Water Quality Control Plant Implements PredictEnergy® for Wastewater Energy Cost Reduction South San Francisco uses PredictEnergy® analytics to enable wastewater energy cost reduction with savings of nearly 10%. South San Francisco and Murrieta, CA—SEPTEMBER 2016— South San Francisco Water Quality Control Plant (WQCP) and Helio Energy Solutions announce the successful implementation of the PredictEnergyTM analytics…

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City of South San Francisco selects PredictEnergy

City of South San Francisco has Selected HelioEnergy Solutions and Its PredictEnergy® Analytics Platform to Extend Its Existing Business Intelligence Capabilities as a Continuation of Operational Performance Upgrades at WQCP MURRIETA, CA / ACCESSWIRE / July 23, 2015 / South San Francisco, CA, July 10, 2015: The City of South San Francisco announced today that…

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Reducing Energy not Reducing Energy Cost

Reducing Energy does not mean Reducing Energy Cost – A Case Study Lesson Case A food manufacturer closely tracks their energy use from year to year and actively works to reduce their energy use with various energy reduction projects.  Below is their energy use and cost over two recent years.  They achieved a 4% energy reduction…

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Best Energy Decisions

The best energy decisions start with monitoring energy behind the meter, or demand side monitoring, but many facility owners do not collect or retain their own energy information. Even a brief historical platform can go a long way towards establishing the essential relationship between the key performance indicators (KPIs) that drive energy cost like kWh per unit production,…

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Energy “What if” Analysis

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…

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PredictEnergy® Blog, Welcome!

Hi, everyone. My name is TR Bietsch and I am the Chief Technology Officer for PredictEnergy®. My background is in energy management and energy cost analytics, and I manage a global development team focused on offering sustainable energy cost reduction solutions for our clients. I believe we have created the first cloud-based, behind-the-meter, energy analytics application, that…

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