Problem

Energy Providers such as Municipal Electric Utilities (Munis) are facing increasing operational costs i.e. primarily in delivering power to their customers. The increasing Renewables, NYMBI (not in my back yard), and emerging technologies (Distributed Energy Resources) are driving the increases in power delivery costs.
To keep the revenues higher than the costs, Munis are faced with the choice of flatly increasing power rates for all customers or working on an alternative, that must also include the end-customers’ increasingly diverse demands.

Problem 3

Solution

We use data science models (statistical and mathematical algorithms) to distinguish different load patterns, and we use financial accounting to allocate the main operational cost drivers. Munis can run as many rate design simulations as needed. These simulations improve operational decisions of Munis i.e. mitigate the increasing operational costs while providing more choices to the end-customers.

Solution

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Data Insights

Renwai assists utilities make use of their data to gain insights and position them to address challenges like the costs of peak demand via pricing and customer support tools.

Dr Andrea La Nauze School of Economics, University of Queensland

New World

RenwAI has new insights for the new world we are finding ourselves in. There is a huge value in their reasonable rates and responsiveness. RenwAI is nothing like traditional consulting companies, I strongly recommend RenwAI and their team.

Kevin Kelly General Manager at Groton Electric Light Department

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Data Insights

Renwai assists utilities make use of their data to gain insights and position them to address challenges like the costs of peak demand via pricing and customer support tools.

New World

RenwAI has new insights for the new world we are finding ourselves in. There is a huge value in their reasonable rates and responsiveness. RenwAI is nothing like traditional consulting companies, I strongly recommend RenwAI and their team.

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