Thesis (DBusinessAdministration)--University of South Australia, 2004.

Thesis (M.U.R.P. 1979) from the Department of Architecture, University of Adelaide. / Includes bibliographical references (p. 165-188).

Thesis (Ph.D.)--University of Missouri-Columbia, 2006. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on April 29, 2009) Vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 1997. / Vita. Includes bibliographical references (leaves [115]-120).

Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2008. / Committee Chair: Shelton, Samuel; Committee Member: Bras, Berdinus; Committee Member: Jeter, Sheldon.

Thesis (M.Eng.(Electrical Engineering))--University of Pretoria, 2001. / Summaries in Afrikaans and English. Includes bibliographical references.

Thesis (M.S. in Defense Analysis)--Naval Postgraduate School, June 2010. / Thesis Advisor(s): Tsypkin, Mikhail ; Second Reader: Lober, George. "June 2010." Description based on title screen as viewed on July 14, 2010. Author(s) subject terms: Natural gas, transportation routes, pipelines, power rivalry, energy demand, energy resources, energy policy, energy security, post-Cold war era, Caspian Sea basin, Russian periphery, geopolitical, littoral states, political instability. Includes bibliographical references (p. 53-56). Also available in print.

No description available.

The electricity market in the South African economy uses specialised instruments in forecast-ing the energy load to be delivered. The current status quo operates with several forecasters from different offices, departments or businesses predicting for different purposes. This be-comes a challenge to derive a consolidated forecast. This study has attempted to develop a consolidating instrument that will merge all the forecasts from different offices, departments or businesses into one so-called ‘official forecast’. Such an instrument should be able to predict with accuracy the anticipated usage or demand. Article [18] examined patterns across G7 countries and forecasters to establish whether the present bias reflects the inefficient use of information, or whether it reflects a rational re- sponse to financial, reputation and other incentives operating for forecasters. This bias is particularly true for any electricity utility as forecasting is undertaken by different divisions; therefore each division has its own incentives. For instance, the generation division will tend to overstate their forecasts so as that there is no possibility of a shortage, whereas distri- bution (sales) might understate so as to give the impression of being profitable when more units are sold to consumers. Thus, the study attempts to rectify this bias by employing statistical tools in consolidating these forecasts. The results presented in this paper propose a newly developed procedure of consolidating energy demand forecasts from different users and accounting for different time horizons. Predicting for the short-term and long-term involves different measuring tools, which is one aspect of prediction this paper tackles.

M.Phil. ( Energy Studies) / In contrast to conventional energy sources, the advantage of renewable energy lies in the fact that it is virtually inexhaustible and that its utilisation is accompanied by minima environmental pollution. I t is, furthermore, very appropriate especially seen in the light of the large Third World component of the South African energy economy. It therefore becomes necessary to evaluate the adequacy of Government strategy as far as the optimal development and utilisation of the renewable energy sources with the best potential in South Africa are concerned, against present and future needs for and the utilisation possibilities of these sources...