FUZZY TIME SERIES FOR ELECTRICITY PRICE FORECASTING

Autor:	Volodymyr Andriiovych Popov, Petro Oleksandrovych Zamkovyi
Rok vydání:	2017
Předmět:	Mathematical optimization business.industry Computer science Distributed generation Electricity market Microgrid Bidding business Grid Cost of electricity by source Fuzzy logic Term (time)
Zdroj:	POWER ENGINEERING: economics, technique, ecology. :45-50
ISSN:	2308-7382 1813-5420
DOI:	10.20535/1813-5420.3.2017.117221
Popis:	The short term price forecasting on the wholesale electricity market is a necessary daily task for Microgrid operator and the relevant departments of enterprises effective participation in the bidding. Short-term price forecasting is essential and determining for optimal dispatch of power between the dispersed generation sources and for their coordinated work with energy storage, grid and controlled load. This paper presents a brief description and the basic equations of the theory of fuzzy time series modeling and forecasting techniques. This approach provides the use of a fuzzy (including linguistic) and deterministic initial information. Experimental calculations have shown promising application of fuzzy approach to solve the forecasting problem of time series (for example, the cost of electricity), including in case of absence of some statistics or if data have errors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6775a96ac19826979cefd1e644c22bb5 https://doi.org/10.20535/1813-5420.3.2017.117221 Zobrazit plný text záznamu