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Establishing baseline electrical energy consumption in wood processing sawmills a model based on energy analysis and diagnostics /Mardikar, Yogesh Mukesh. January 2007 (has links)
Thesis (Ph. D.)--West Virginia University, 2007. / Title from document title page. Document formatted into pages; contains xvi, 222 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 203-207).
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The forecasting of the distribution of weekly peak electricity demand and its application to planned outage schedulingReifschneider, David. January 1983 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1983. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 153-158).
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Forecasts of electricity demand and their implication for energy developments in Hong Kong /Si, Yau-li. January 1990 (has links)
Thesis (M. Soc. Sc.)--University of Hong Kong, 1990.
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Forecasts of electricity demand and their implication for energy developments in Hong KongSi, Yau-li. January 1990 (has links)
Thesis (M.Soc.Sc.)--University of Hong Kong, 1990. / Also available in print.
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Statistical analysis of electricity demand profilesMangisa, Siphumlile January 2013 (has links)
An electricity demand profile is a graph showing the amount of electricity used by customers over a unit of time. It shows the variation in electricity demand versus time. In the demand profiles, the shape of the graph is of utmost importance. The variations in demand profiles are caused by many factors, such as economic and en- vironmental factors. These variations may also be due to changes in the electricity use behaviours of electricity users. This study seeks to model daily profiles of energy demand in South Africa with a model which is a composition of two de Moivre type models. The model has seven parameters, each with a natural interpretation (one parameter representing minimum demand in a day, two parameters representing the time of morning and afternoon peaks, two parameters representing the shape of each peak, and two parameters representing the total energy per peak). With the help of this model, we trace change in the demand profile over a number of years. The proposed model will be helpful for short to long term electricity demand forecasting.
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A cross-country empirical study on electricity demand /Chiu, Yuk Ha. January 2004 (has links)
Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004. / Includes bibliographical references (leaves 33-35). Also available in electronic version. Access restricted to campus users.
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Beiträge zum Problem des Elektrizitätslieferungsvertrags : und Untersuchung der Rechtsstellung des Elektrizitätsunternehmers im Konkurs des Abnehmers /Kaumanns, Artur. January 1933 (has links)
Thesis (doctoral)--Universität Köln.
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Effectiveness of electrical demand reduction strategiesGopalakrishnan, Chandra. January 2004 (has links)
Thesis (M.S.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains viii, 75 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 74-75).
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An investigation of the formation and temporal stability of a personal obligation to shift electricity useLinz, Daniel Gerard. January 1981 (has links)
Thesis (M.S.)--University of Wisconsin--Madison, 1981. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 64-68).
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Reducing cluster power consumption by dynamically suspending idle nodes a thesis /Oppenheim, Brian Michael. Nico, Phillip Lovis. January 1900 (has links)
Thesis (M.S.)--California Polytechnic State University, 2010. / Title from PDF title page; viewed on June 21, 2010. Major professor: Phillip Nico, Ph.D. "Presented to the faculty of California Polytechnic State University, San Luis Obispo." "In partial fulfillment of the requirements for the degree [of] Master of Science in Computer Science." "June 2010." Includes bibliographical references (p. 57-60).
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