Forecasting Model Of Electricity Sale Market Based On User’s Electricity Consumption Information

Autor:	Ai Wang, Shifa Gao, Zheng Wang, Zhigang Wang, Xing Tong, Renhui Liu
Rok vydání:	2020
Předmět:	Market based Consumption (economics) History Hardware_GENERAL business.industry Business Electricity Environmental economics Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1449:012074
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1449/1/012074
Popis:	The prediction of electricity sale market is directly related to the balance of electricity supply and demand. The high-precision prediction method of electricity sale market will effectively avoid the imbalance of system supply and demand, and improve the security and economy of the system. In the past, it was difficult to obtain the information of users’ electricity consumption, so the prediction methods of electricity sale market in the past were based on the overall electricity sale. The advantage of this method is that it can get the forecast value of the future electricity sales quickly and intuitively, while the disadvantage is that it fails to consider the electricity development trend of all walks of life that compose the electricity sales in detail.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::191400946fa87c3e7e170f364fa09594 https://doi.org/10.1088/1742-6596/1449/1/012074 Zobrazit plný text záznamu