What makes us unique is the combination of our experiences: mathematical modeling, software and information technology, and energy industry experience – makes problem-solving easier, quicker and much more cost-effective.
One example of “putting it all together”:
Pricing for small-to-medium solar installations:
Today, the pricing for roof-top solar or community solar is determined using broad-brush statistics and models. We have been working on refining these models using the combination of big data, analytics, pricing algorithms and deploying those models near-real time.
We start with the consumption data on the facility. This is usually available on the web sites of utilities, and increasingly the usage information is available at 15-minute intervals. These constitute valuable information, and in combination with weather data can actually generate models that create a profile of the way energy is used in the house: electric vehicles, heated pools, air conditioners, washing machines etc. leave their own characteristic fingerprint on the usage ramp-up and ramp-down rates. Information available on web sites such as Zillow allow you to “see” the house and determine the exposure, and even trees obstructing the sun – and all of this data goes into computing the effective yield of a roof-top solar installation much more precisely.
This obviously provides some valuable benefits:
That was one quick example of the multitude of skills that go into pricing and structuring and targeted marketing – all of which is possible today thanks to technology and expertise.
Distribution, Decarbonization, Digitization and Designer rates are going to drive the product offerings from an energy provider of the future.
Whatever commercial enterprise you are involved in, the first question that you have to address is: how do I price my products and services? In the energy industry, the complexity of the supply chain makes this especially challenging.
Talk to us about our decades of experience building systems for Billing & CIS, financial and settlement systems for the energy industry .
The explosive growth of technology in the areas of “big data” gathering and cloud computing has enabled powerful analytical tools. We use these analytic and data mining tools to create predictive and actionable mathematical models.