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Home production and the residential electric load curve

dc.contributor.authorHill, Daniel H.en_US
dc.date.accessioned2006-04-07T16:57:24Z
dc.date.available2006-04-07T16:57:24Z
dc.date.issued1978-12en_US
dc.identifier.citationHill, Daniel H. (1978/12)."Home production and the residential electric load curve." Resources and Energy 1(4): 339-358. <http://hdl.handle.net/2027.42/22473>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6X1T-45JK44M-3/2/c0355f2ecb9fd2c3d451ba078d9ce9cfen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/22473
dc.description.abstractMost recent works concerning time-of-day demands for electricity totally ignore home production. In this article we show that an understanding of the timing of household productive activities is crucial to an understanding of the residential electric load curve, and to an understanding of future responses to time-of-day, seasonal, or other marginal cost based electricity pricing strategies. We show that the timing of energy-intensive household activities can be modeled in terms of classical inventory adjustment processes. Those activities characterized by long re-order cycles are most likely to be shifted in response to time-of-day prices. Residential load curve data and data from the National Time Use Study suggest that economists have tended to underestimate the importance of water heating in affecting the load curve. Because of the relatively long re-order cycle of activities using hot water, and the possibility of timing the water heater, these activities should be quite responsive to well designed time-of-use rate structures, both in the short- and long-run.en_US
dc.format.extent1300617 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleHome production and the residential electric load curveen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSurvey Research Center, University of Michigan, Ann Arbor, MI 48104, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/22473/1/0000014.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0165-0572(78)90018-Xen_US
dc.identifier.sourceResources and Energyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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