Automatic data processing system of renewable electric power prices in end-use residential sector of USA / E. A. Maleeva, M. K. Moshenets, O. L. Kritski

Set Level: ARPN Journal of Engineering and Applied Sciences = 2006-Main Author: Maleeva, E. A., Ekaterina AleksandrovnaCoauthor: Moshenets, M. K., Mariya Konstantinovna;Kritski, O. L., mathematician, Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences, 1976-, Oleg LeonidovichCorporate Author (Secondary): Национальный исследовательский Томский политехнический университет (ТПУ), Институт кибернетики (ИК), Кафедра инженерной графики и промышленного дизайна (ИГПД), Научно-учебная лаборатория 3D моделирования (НУЛ 3DМ);Национальный исследовательский Томский политехнический университет (ТПУ), Физико-технический институт (ФТИ), Кафедра высшей математики и математической физики (ВММФ)Language: английский.Country: Pakistan.Abstract: We propose a computer-based automatic system of electric power prices processing and finding an optimal price level for renewable electric energy produced in USA. We implement classical Markowitz portfolio theory to electric energy prices in all regions of USA. For given margin volatility we find shares of electric power that should be bought in different US regions for making K.W.H. as cheap as possible for US residents..Bibliography: [References: р. 601 (5 tit.)].Subject: электронный ресурс | труды учёных ТПУ | системы обработки информации | возобновляемые источники энергии | жилищный сектор | США | портфельная теория Online Resources:Click here to access online
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[References: р. 601 (5 tit.)]

We propose a computer-based automatic system of electric power prices processing and finding an optimal price level for renewable electric energy produced in USA. We implement classical Markowitz portfolio theory to electric energy prices in all regions of USA. For given margin volatility we find shares of electric power that should be bought in different US regions for making K.W.H. as cheap as possible for US residents.

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