Case Studies

Weather Normalization Case Study

Comparing ENERGYSTAR’s Portfolio Manager® & Screaming Power Machine Learning

Mobile Customer Engagement

Utility Case Study

Comparison of Greenhouse Gas

Emissions Estimation Standards

Leading Canadian Research

on Machine Learning to create Cognitive Conservation

A Smart Mobile Solution

with Novel MCP, Peak Demand and Hourly Grid Emissions with Multiple Integration Points

New Apps Assist Customers

in Predicting Peaks

Structure Dependent Weather

Normalization Algorithm to Normalize and Forecast Energy Footprints

Scream OpenData

A Permanent Home for Energy Big Data

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