Research graph
References from Residential Electricity-Use Profiling for Demand-Side Management Using a Convolutional Attention Variational Autoencoder and Adaptive GWO-K-Means Clustering. Local targets link to admitted publications; unresolved targets remain external evidence.
Research on non-intrusive monitoring methods for power system loads
2021 · External reference
Power consumer behavior model: Basic concepts and research framework
2019 · External reference
Rural photovoltaic trading mode based on price-based demand response in a distributed generation market environment
2020 · External reference
Short-term residential load forecasting based on LSTM recurrent neural network
10.1109/tsg.2017.2753802 · 2019 · External reference
Load curve clustering for multiple types of users
2018 · External reference
Electricity feature selection and behavior profiling of power users
2020 · External reference
Electricity industry classification and synthesis method based on users daily load curves
2010 · External reference
Electricity consumption behavior analysis of industrial users based on data mining
2017 · External reference
Research on power load classification based on adaptive fuzzy C-means algorithm
2010 · External reference
Identification of industry typical load curves based on pruning strategy and density peak clustering
2021 · External reference
Typical load curve shape clustering algorithm using adaptive piecewise aggregate approximation
2019 · External reference
Non-intrusive load event detection method based on state feature clustering
2020 · External reference
Analysis and clustering of residential customers energy behavioral demand using smart meter data
10.1109/tsg.2015.2409786 · 2016 · External reference
Comprehensive clustering method for user load characteristics and adjustable potential oriented to power big data
2021 · External reference
Ensemble clustering algorithm for power load curves combined with dimensionality reduction technology
2015 · External reference
Power load identification based on deep belief network
2019 · External reference
Classification method of residential electricity consumption patterns based on a multitask joint model
2022 · External reference
Power load clustering modeling and characteristic analysis based on LSTM autoencoder
2020 · External reference
10.3390/en17225559
10.3390/en17225559 · External reference
Unresolved reference
External reference
Unresolved reference
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Grey wolf optimizer
10.1016/j.advengsoft.2013.12.007 · 2014 · External reference
Unresolved reference
External reference
Polygonal coordinate system: Visualizing high-dimensional data using geometric dimensionality reduction and a deterministic version of t-SNE
10.1016/j.eswa.2021.114741 · 2021 · External reference
Identification of resident transferable loads based on appliance state association analysis
2020 · External reference
Grey wolf optimizer
10.1016/j.advengsoft.2013.12.007 · ExternalCitation · doi-reference
Polygonal coordinate system: Visualizing high-dimensional data using geometric dimensionality reduction and a deterministic version of t-SNE
10.1016/j.eswa.2021.114741 · ExternalCitation · doi-reference
Analysis and clustering of residential customers energy behavioral demand using smart meter data
10.1109/tsg.2015.2409786 · ExternalCitation · doi-reference
Short-term residential load forecasting based on LSTM recurrent neural network
10.1109/tsg.2017.2753802 · ExternalCitation · doi-reference
10.3390/en17225559
10.3390/en17225559 · ExternalCitation · doi-reference
