English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. Abstract Residential, commercial, and industrial facilities have potential to support electric grid reliability with demand response (DR) via use of facility energy management approaches. The ability of different DR approaches to successfully engage the maximum amount of customer response (and customer benefit in terms of energy and energy cost reduction) depends in part on proper selection of communication interfaces. This paper examines the impact of facility systems diversity on the communications interface, and analyzes use case requirements to derive basic use case classes and a resulting set of key information elements needed to support smart grid customer interface communications. The derived customer interface functional requirements are used to develop a " DR Conceptual Model " which provides a high-level view of the scope of DR interactions and guidance on the selection of communication interfaces.

Facility Smart Grid Interface and a Demand Response Conceptual Model