Automatic data processing system of renewable electric power prices in end-use residential sector of USA
| Parent link: | ARPN Journal of Engineering and Applied Sciences.— , 2006- Vol. 12, № 2.— 2017.— [P. 599-601] |
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| Autor principal: | |
| Autores corporativos: | , |
| Outros Autores: | , |
| Resumo: | 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. |
| Publicado em: |
2017
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| Acesso em linha: | http://www.arpnjournals.org/jeas/research_papers/rp_2017/jeas_0117_5661.pdf |
| Formato: | Recurso Eletrônico Capítulo de Livro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653670 |
| Resumo: | 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. |
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