The explosive growth of technology in the areas of “big data” gathering – both structured data such as meter reads, consumer purchases etc., and non-structured data such as preferences expressed in social media interactions - and cloud computing has enabled powerful analytical tools. These analytic and data mining tools in turn are used to create predictive and actionable mathematical models. Our consultants have used analytics and modeling tools in many areas including:
- Customer Segmentation for the purposes of targeted marketing as well as retention of at-risk customers
- What-if analysis on pricing and customer behavior in shifting patterns of energy supply curve and usage
- Mathematical treatment of interval data for storage and retrieval optimization from an IT point of view
- Non-standard parameter estimation models for grid economics that have a significant impact on customer’s bill. Some examples are predictive models for capacity and transmission obligation tags.