is helping usher in the trend of augmented
business intelligence for utilities with its Insights
Engine, which uses artificial intelligence (AI) and machine learning
to transform how utilities and energy retailers generate analytics
insights. Identified as a 2019
top technology trend with disruptive potential by Gartner, Inc.,
augmented business intelligence makes data insights more broadly
available across organizations, including decision makers and
operational workers. With the Insights Engine leveraged across a
utility, the combined insights derived from applying AI to customer data
enables multiple stakeholders to directly address challenges around four
key areas: demand-side
management (DSM), electric
vehicles (EVs), solar PV and load research.
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With the Insights Engine leveraged across a utility, the combined insights derived from applying AI to customer data enables multiple stakeholders to directly address challenges around four key areas: demand-side management (DSM), electric vehicles (EVs), solar PV and load research. (Graphic: Business Wire)
“The artificial intelligence fabric woven through all of our solutions
understands what is plugged into the grid at home and how it operates,
be it an EV, a solar plus energy storage system or a washing machine.
These insights create an elevated level of business intelligence that
permeates throughout the utility. It enables customer segmentation
techniques that tech giants like Netflix implement to tailor the right
personalized message to the right customer; it creates new opportunities
for program cost reduction; and it introduces truly intelligent grid
management,” said Bidgely Head of Global Sales Prateek Chakravarty.
According to a Wood
Mackenzie report, there are nearly 30 million distributed generation
and grid-connected devices installed in homes across the United States
alone, with millions more globally anticipated by 2023. As utilities
begin to take a more integrated approach to DSM, the Insights Engine patented
disaggregation technology eases the ability to flexibly manage these new
resources. Four new Insights Engine modules were created to directly
address utility pain points in the following areas:
Module: for detection and analysis of EV charging in the home,
utilities can use the information to design rate plans that encourage
off peak charging and proactively offer EV Time of Use (TOU) rates to
customers with EVs.
Module: for understanding the efficiency of appliances in the
home, utilities can pinpoint homes with the highest potential savings
and target DSM campaigns to those specific customers, generating
savings of 25
percent in program budget spend.
Module: for detection of solar PV plus consumption monitoring
in the home, utilities can analyze residential solar customers in
their territory to understand the effects of distributed generation
for improved distribution planning.
Research Module: for identifying trends, outliers and
constraints that may affect short and long term planning, utilities
can analyze the individual home energy profiles for all customers
across all contributing appliance categories.
For more information about the Bidgely Insights Engine, visit: https://www.bidgely.com/solutions/insights-engine/.
As the industry’s first enterprise energy analytics and customer
engagement platform provider, Bidgely’s utility artificial intelligence
(AI) solutions transform utility meter data into business intelligence
for optimizing shareholder value, personalizing the customer experience
and modernizing the grid. Bidgely’s mission to be a trusted AI partner
helps utilities solve daily challenges related to home energy
management, customer satisfaction, operational efficiency and new
revenue models. With roots in Silicon Valley, the company has raised
over $50M in funding, retains 30+ data scientists and brings a passion
for AI to utilities serving residential customers around the world. For
more information, please visit www.bidgely.com
or the Bidgely blog at bidgely.com/blog.