Load Identification of Non-intrusive Load-monitoring System in Smart Home

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Chang:2010:WSEAS,

• author = "Hsueh-Hsien Chang",
• title = "Load Identification of Non-intrusive Load-monitoring System in Smart Home",
• journal = "WSEAS Transactions on Systems",
• year = "2010",
• volume = "9",
• month = jan,
• keywords = "genetic algorithms, genetic programming, load identification, artificial neural networks, non-intrusive load monitoring, turn-on transient energy analysis, smart home",
• ISSN = "1109-2777",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.455.3952",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.455.3952",
• URL = "http://www.worldses.org/journals/systems/systems-2010.htm",
• URL = "http://www.wseas.us/e-library/transactions/systems/2010/42-415.pdf",
• abstract = "In response to the governmental policy of saving energy sources and reducing CO2, and carry out the resident quality of local; this paper proposes a new method for a non-intrusive load-monitoring (NILM) system in smart home to implement the load identification of electric equipments and establish the electric demand management. Non-intrusive load-monitoring techniques were often based on power signatures in the past, these techniques are necessary to be improved for the results of reliability and accuracy of recognition. By using neural network (NN) in combination with genetic programming (GP) and turn-on transient energy analysis, this study attempts to identify load demands and improve recognition accuracy of non-intrusive load-monitoring results. The turn-on transient energy signature can improve the efficiency of load identification and computational time under multiple operations.",

}

Genetic Programming entries for Hsueh-Hsien Chang

Citations