{"_id":"R4noFvXxbkrBzBxbW","authorIDs":[],"author_short":["Cole, A.","Albicki, A."],"bibbaseid":"cole-albicki-dataextractionforeffectivenonintrusiveidentificationofresidentialpowerloads-1998","bibdata":{"abstract":"A completely effective technology for monitoring energy consumption and switching patterns of multiple electrical loads is desired yet not available. While parallel metering of multiple loads is possible, it is rarely cost effective and requires several installations and maintenance checks that disrupt a monitored business or residence. This report describes how non-intrusive monitoring methods for residences have been extended with several novel techniques to identify electrical loads and measure energy consumed by each","author":["Cole, AI","Albicki, A"],"author_short":["Cole, A.","Albicki, A."],"bibtex":"@inproceedings{ cole_data_1998,\n title = {Data extraction for effective non-intrusive identification of residential power loads},\n volume = {2},\n doi = {10.1109/IMTC.1998.676838},\n abstract = {A completely effective technology for monitoring energy consumption and switching patterns of multiple electrical loads is desired yet not available. While parallel metering of multiple loads is possible, it is rarely cost effective and requires several installations and maintenance checks that disrupt a monitored business or residence. This report describes how non-intrusive monitoring methods for residences have been extended with several novel techniques to identify electrical loads and measure energy consumed by each},\n booktitle = {{IEEE} Instrumentation and Measurement Technology Conference, 1998. {IMTC}/98. Conference Proceedings},\n author = {Cole, AI and Albicki, A},\n month = {May},\n year = {1998},\n keywords = {Computer vision, Data mining, {FIR} filters, Feature extraction, Finite impulse response filter, Heat pumps, Monitoring, Reactive power, Steady-state, current sampling, data extraction, effective nonintrusive identification, energy consumption, identification, load (electric), load identification algorithm, multiple electrical loads, power consumption, power engineering computing, power metering socket, power system measurement, power system transients, residential power loads, switching patterns, voltage sampling, wavelet transforms},\n pages = {812--815 vol.2}\n}","bibtype":"inproceedings","booktitle":"IEEE Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings","doi":"10.1109/IMTC.1998.676838","id":"cole_data_1998","key":"cole_data_1998","keywords":"Computer vision, Data mining, FIR filters, Feature extraction, Finite impulse response filter, Heat pumps, Monitoring, Reactive power, Steady-state, current sampling, data extraction, effective nonintrusive identification, energy consumption, identification, load (electric), load identification algorithm, multiple electrical loads, power consumption, power engineering computing, power metering socket, power system measurement, power system transients, residential power loads, switching patterns, voltage sampling, wavelet transforms","month":"May","pages":"812--815 vol.2","title":"Data extraction for effective non-intrusive identification of residential power loads","type":"inproceedings","volume":"2","year":"1998","bibbaseid":"cole-albicki-dataextractionforeffectivenonintrusiveidentificationofresidentialpowerloads-1998","role":"author","urls":{},"keyword":["Computer vision","Data mining","FIR filters","Feature extraction","Finite impulse response filter","Heat pumps","Monitoring","Reactive power","Steady-state","current sampling","data extraction","effective nonintrusive identification","energy consumption","identification","load (electric)","load identification algorithm","multiple electrical loads","power consumption","power engineering computing","power metering socket","power system measurement","power system transients","residential power loads","switching patterns","voltage sampling","wavelet transforms"],"downloads":0,"html":""},"bibtype":"inproceedings","biburl":"http://bibbase.org/zotero/alspereira","creationDate":"2014-12-11T16:27:23.745Z","downloads":0,"keywords":["computer vision","data mining","fir filters","feature extraction","finite impulse response filter","heat pumps","monitoring","reactive power","steady-state","current sampling","data extraction","effective nonintrusive identification","energy consumption","identification","load (electric)","load identification algorithm","multiple electrical loads","power consumption","power engineering computing","power metering socket","power system measurement","power system transients","residential power loads","switching patterns","voltage sampling","wavelet transforms"],"search_terms":["data","extraction","effective","non","intrusive","identification","residential","power","loads","cole","albicki"],"title":"Data extraction for effective non-intrusive identification of residential power loads","year":1998,"dataSources":["ndsqabutJ3xHr3adK"]}