Unsupervised and Supervised Learning Combined Power Load Curve Classification Based on Sequential Trajectory Feature Extraction Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3201552
Abstract: Advancements in smart grid technology and the extensive applications of electric power big data have made in-depth exploration of the behavioral characteristics of power consumers highly necessary for further development of the electricity market. This… read more here.
Keywords: sequential trajectory; trajectory feature; power; load curve ... See more keywords
An Adaptive Weighted Pearson Similarity Measurement Method for Load Curve Clustering
Sign Up to like & getrecommendations! Published in 2018 at "Energies"
DOI: 10.3390/en11092466
Abstract: Load curve data from advanced metering infrastructure record the consumers’ behavior. User consumption models help one understand a more intelligent power provisioning and clustering the load data is one of the popular approaches for building… read more here.
Keywords: pearson; similarity; curve data; load ... See more keywords
Method for Clustering Daily Load Curve Based on SVD-KICIC
Sign Up to like & getrecommendations! Published in 2020 at "Energies"
DOI: 10.3390/en13174476
Abstract: Clustering electric load curves is an important part of the load data mining process. In this paper, we propose a clustering algorithm by combining singular value decomposition and KICIC clustering algorithm (SVD-KICIC) for analyzing the… read more here.
Keywords: load data; load curves; svd kicic; daily load ... See more keywords