Program Optimization Archives - Page 3 of 11

Working from home? PowerClerk delivers for utilities and their customers

Jeff Ressler | Apr 7, 2020

This post explains how to extract maximum value from PowerClerk® in “work from home” situations and outlines a new offer for utilities and energy agencies to use PowerClerk at no cost on COVID-19-related programs. Working from home with no compromises With the broad...

All top 10 U.S. utilities trust Clean Power Research

Skip Dise | Nov 5, 2019

At Clean Power Research, we think of ourselves as a modestly sized company doing big work. We are a passionate team of engineers, scientists and customer-obsessed service professionals focused on delivering world-class software solutions to utilities and the solar...

Three keys to unlocking DER program management excellence

Skip Dise | Oct 16, 2019

A question we often hear from utilities is: “What makes an effective distributed energy resource (DER) program management solution over the long-term?” The question is often rooted in concern for making the best choice between developing an in-house solution or...

PowerClerk Dashboards deliver key data visualization capabilities to energy program managers

Skip Dise | Sep 19, 2019

Advancements in data visualization reporting tools are helping companies make sense of ever-increasing data volumes and complexity. The right tools help increase efficiency and make data visualization more approachable for all users. Improved application design has...

As community solar grows, scaling customer engagement is critical

Jeff Ressler | Aug 23, 2019

Solar energy production is booming in the United States. According to the EIA (U.S. Energy Information Administration), “U.S. solar generation has increased from 2 million MWh in 2008 to 96 million MWh in 2018.” The growth of solar has coincided with the proliferation...

Move beyond worst-case distribution planning with DER adoption forecasts and probabilistic planning

Andy Whitaker | Jun 18, 2019

Distribution engineers today are responsible for designing the future of a critical infrastructure system, yet uncertainty pervades the process. Traditional methods of load forecasting and system planning are becoming less tenable due to the growth of distributed...

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