Modeling electricity load curves with hidden Markov models for demand‐side management status estimation
Sign Up to like & getrecommendations! Published in 2017 at "International Transactions on Electrical Energy Systems"
DOI: 10.1002/etep.2265
Abstract: Summary The development of the smart grid will lead to increased possibilities to improve energy efficiency via demand-side management (DSM) and ultimately contribute to a more sustainable and secure energy system. The smart grid will… read more here.
Keywords: hidden markov; energy; load curves; side management ... See more keywords
Who is sensitive to DSM? Understanding the determinants of the shape of electricity load curves and demand shifting: Socio-demographic characteristics, appliance use and attitudes
Sign Up to like & getrecommendations! Published in 2019 at "Energy Policy"
DOI: 10.1016/j.enpol.2019.110909
Abstract: To date, research on demand side management has mostly focused on the determinants of electricity consumption and stated preference experiments to understand social acceptability. Further experimental research is needed to identify the determinants for demand… read more here.
Keywords: load curves; appliance; sensitive dsm; use ... See more keywords
Method for Clustering Daily Load Curve Based on SVD-KICIC
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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