Deep Clustering Algorithm for Load Profile Business Intelligence Dashboard for Consumer and Utility Management-Reference-Cited by-同舟云学术

Deep Clustering Algorithm for Load Profile Business Intelligence Dashboard for Consumer and Utility Management

Published:2024-05-20 Issue: Volume: Page:1-8
ISSN:
Container-title:Proceedings of the 20th Brazilian Symposium on Information Systems
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Author:

Veloso Artur Felipe Da Silva¹^ORCID,Reis José Valdemir Dos²^ORCID,Vasconcelos Fillipe Matos³^ORCID,Silveira Jocines De La Flora²^ORCID,Abreu Pedro²^ORCID,Sarmento Geraldo²^ORCID,Silva Thiago Allisson²^ORCID,Rabêlo Ricardo Lira¹^ORCID

Affiliation:

1. Federal University of Piauí (UFPI), Brazil

2. Federal University of Piauí (UFPI), Brasil

3. Universidade Federal do Mato Grosso (UFMG), Brazil

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3658321.3658368

Reference19 articles.

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3. Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process

4. Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review

5. David Ding. 2023. Power BI Service. In Transitioning to Microsoft Power Platform: An Excel User Guide to Building Integrated Cloud Applications in Power BI, Power Apps, and Power Automate. Springer, 87–114.

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