Density And Dynamic Time Warping Based Spatial Clustering For Appliance Operation Modes
Author:
Affiliation:
1. The University Of Western Ontario,Department Of Computer Science,London,Ontario,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10078411/10078443/10078477.pdf?arnumber=10078477
Reference20 articles.
1. A Clustering Framework for Residential Electric Demand Profiles
2. Load Profiling Considering Shape Similarity Using Shape-Based Clustering
3. Clustering Residential Customers with Smart Meter data using a Data Analytic Approach – External Validation and Robustness Analysis
4. Electricity consumption pattern analysis beyond traditional clustering methods: A novel self-adapting semi-supervised clustering method and application case study
5. Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. HYDROSAFE: A Hybrid Deterministic-Probabilistic Model for Synthetic Appliance Profiles Generation;Sensors;2024-08-29
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