Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/73947
Title: Solar power generation short-term forecasting model's implementation experience
Authors: Kochneva, E.
Issue Date: 2018
Publisher: EDP Sciences
Citation: Kochneva E. Solar power generation short-term forecasting model's implementation experience / E. Kochneva // MATEC Web of Conferences. — 2018. — Vol. 208. — 4005. — DOI: 10.1051/matecconf/201820804005.
Abstract: Recently there is significant increase in the installed capacity of solar power plants in Russia. Thereby there are issues of solar power plants owners information support for participation in wholesale electricity market. The paper describes the experience of short term forecasting system practical implementation. The system is proposed for forecasting the solar power plant generation "a day ahead" as a part of the software for automatic meter reading systems "Energosfera". The short-term forecasting program modules structure, key parameters and characteristics used during the forecasting process description is presented. © 2018 The Authors, published by EDP Sciences.
Keywords: AUTOMATION
PUBLIC UTILITIES
SOLAR ENERGY
SOLAR POWER GENERATION
SOLAR POWER PLANTS
AUTOMATIC METER READING SYSTEMS
DAY-AHEAD
INFORMATION SUPPORT
INSTALLED CAPACITY
PROCESS DESCRIPTIONS
PROGRAM MODULE
SHORT-TERM FORECASTING
WHOLESALE ELECTRICITY MARKETS
FORECASTING
URI: http://elar.urfu.ru/handle/10995/73947
Access: cc-by
Conference name: 3rd International Conference on Measurement Instrumentation and Electronics, ICMIE 2018
Conference date: 4 July 2018 through 6 July 2018
RSCI ID: 38616386
SCOPUS ID: 85055006224
WOS ID: 000570202200027
PURE ID: 8172774
ISSN: 2261-236X
DOI: 10.1051/matecconf/201820804005
metadata.dc.description.sponsorship: № 02.
The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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