Cluster analysis and prediction of residential peak demand profiles using occupant activity data
Researching the dynamics of residential electricity consumption at finely-resolved timescales is increasingly practical with the growing availability of high-resolution data and analytical methods to characterize them. One methodological approach that is popular for exploring consumption dynamics is...
Main Authors: | Satre-Meloy, A, Diakonova, M, Grünewald, P |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Elsevier
2019
|
Similar Items
-
What makes you peak? Cluster analysis of household activities and electricity demand
by: Satre Meloy, A, et al.
Published: (2019) -
Daily life and demand: an analysis of intra-day variations in residential electricity consumption with time-use data
by: Satre-Meloy, A, et al.
Published: (2019) -
Daily life and demand: New data on behavioral drivers of residential electricity use patterns
by: Meloy, A, et al.
Published: (2019) -
Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models
by: Satre-Meloy, A
Published: (2019) -
Characterising temporal aspects of residential electricity consumption using statistical learning
by: Satre Meloy, AP
Published: (2019)