Power and renewables

Data mining and smart lighting solutions

Data mining and smart lighting solutions

White paper about analyzing insights from installed projects to increase customer adoption.

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Whitepaper

Data mining and smart lighting solutions

Data mining and smart lighting solutions - white paper

About:

Analyzing insights from installed projects to increase customer adoption - White paper

Whitepaper

Data mining and smart lighting solutions

About:

Analyzing insights from installed projects to increase customer adoption - White paper

Data mining and smart lighting solutions - white paper

Request a copy

(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.

Smart Lighting Solutions (SLS), which rely on sensor networks, capture an immense amount of data. To fully leverage this data, users should analyze and manage the data as a strategic asset. One powerful feature of SLS is the ability to report energy consumption data in short time sets. The granular nature of this data affords the buildings operator an opportunity to modify occupant behavior to achieve savings goals. Far from “set it and forget it,” the data captured from actual building use is dynamic and changes over time. When properly analyzed, datasets from SLS produce better energy consumption outcomes. These outcomes lower operating costs, which frees up cash flow and helps mitigate the financial risks associated with the initial capital expenditure.

Whitepaper

Data mining and smart lighting solutions

Data mining and smart lighting solutions - white paper

About:

Analyzing insights from installed projects to increase customer adoption - White paper