Power and renewables

End-Use Data Development

Optimization of data centers operations

It's time to better understand our customers

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Whitepaper

End-Use Data Development

End-use data development: It's time to better understand our customers

About:

It's time to better understand our customers

Whitepaper

End-Use Data Development

About:

It's time to better understand our customers

End-use data development: It's time to better understand our customers

Request a copy

Fill out the form below to receive a free copy by email

(optional)
(optional)

Please note that by subscribing to updates, newsletters and other regular email distributions, you must be opted in to receiving informational emails from DNV GL. By submitting this form, you agree to this and accept that you are opted in, and you understand that you can opt-out at any time using the links in the email you receive as well as visiting the email preference centre.

The world of big data and its promised opportunities could not have come soon enough. Utility planners have always needed, but never really had, detailed end-use data to help them understand how various customers contribute to the overall profile. Accurate and robust end-use data can benefit utility activities across the value chain. The information is invaluable for energy efficiency program design and evaluation, demand response planning and evaluation, load forecasting, integrated resource planning, generation resource acquisition, transmission and distribution planning, transformer load management, rates and regulatory policy, marketing, and customer service operations.

The end-use data that is currently available is inadequate and incapable of capturing the customer-to-customer variation inherent in actual end-use energy use. Modelled data provides a useful starting point; however, we believe that only metered data captures the true variability inherent in actual consumption.

Capturing end-use data is complex, often intrusive, and expensive to collect. One challenge is to ensure that data are valid and robust while being cost-effectively collected. A well-designed and leveraged end-use metering strategy is the best vehicle for obtaining representative consumption patterns at an hourly level. It is also important to collect data over a significant time period...

Whitepaper

End-Use Data Development

End-use data development: It's time to better understand our customers

About:

It's time to better understand our customers