Automatic data processing system of renewable electric power prices in end-use residential sector of USA; ARPN Journal of Engineering and Applied Sciences; Vol. 12, № 2

Automatic data processing system of renewable electric power prices in end-use residential sector of USA; ARPN Journal of Engineering and Applied Sciences; Vol. 12, № 2

Bibliographic Details
Parent link:ARPN Journal of Engineering and Applied Sciences.— , 2006-
Vol. 12, № 2.— 2017.— [P. 599-601]
Main Author: Maleeva E. A. Ekaterina Aleksandrovna
Corporate Authors: Томский политехнический университет Институт кибернетики, ИК, Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра высшей математики и математической физики (ВММФ)
Other Authors: Moshenets M. K. Mariya Konstantinovna, Kritski O. L. Oleg Leonidovich
Summary:Title screen
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.
Language:English
Published: 2017
Subjects:
электронный ресурс
труды учёных ТПУ
системы обработки информации
возобновляемые источники энергии
жилищный сектор
США
портфельная теория
Online Access:http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0117_5661.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653670

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