An unsupervised load disaggregation approach based on graph signal processing featuring power sequences.
Xuhao LiBochao ZhaoWenpeng LuanBo LiuPublished in: BuildSys@SenSys (2022)
Keyphrases
- signal processing
- graph structure
- graph representation
- power consumption
- image processing
- load balancing
- graph mining
- graph model
- unsupervised learning
- active power
- pattern recognition
- graph theory
- hidden markov models
- bipartite graph
- power reduction
- agglomerative clustering
- load forecasting
- sequence alignment
- sequential data
- weighted graph
- graph partitioning
- low power
- fourier transform
- directed graph
- brain computer interface
- graph databases
- social networks
- graph matching
- digital signal processing
- electric vehicles
- signal analysis
- structured data
- graph based algorithm
- reactive power
- supervised learning
- semi supervised
- reactive power compensation