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An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings
Research article (Energy, 2019) · cited 40× · AI/ML
An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings
Summary
An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings is a scholarly article[1].
Key Facts
An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-agglomerative-hierarchical-clustering-based-strategy-using-shared-nearest-neighbours-and-multiple-dissimilarity-measu
MLA“An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-agglomerative-hierarchical-clustering-based-strategy-using-shared-nearest-neighbours-and-multiple-dissimilarity-measu.
BibTeX@misc{4ortxyz_an-agglomerative-hierarchical-clustering-based-strategy-using-shared-nearest-neighbours-and-multiple-dissimilarity-measu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings}}, year = {2026}, url = {https://4ort.xyz/entity/an-agglomerative-hierarchical-clustering-based-strategy-using-shared-nearest-neighbours-and-multiple-dissimilarity-measu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings — https://4ort.xyz/entity/an-agglomerative-hierarchical-clustering-based-strategy-using-shared-nearest-neighbours-and-multiple-dissimilarity-measu (retrieved 2026-05-24)
