Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jinzi Miao"'
Autor:
Qiuxuan Wu, Yongmei Jiang, Ting Shi, Jinzi Miao, Bing Qi, Rongguang Du, Yanbin Luo, Xiaoni Chi
Publikováno v:
IEEE Access, Vol 8, Pp 215977-215986 (2020)
Haze has a significant impact on photovoltaic (PV) power generation. When the fine particulate matter reaches a certain concentration, it becomes the main factor affecting solar irradiance and seriously reduces PV power generation, but few quantitati
Externí odkaz:
https://doaj.org/article/550de707459b4af7954fd48e177685a6
Autor:
Yanbin Luo, Rongguang Du, Qiuxuan Wu, Shi Ting, Yongmei Jiang, Chi Xiaoni, Bing Qi, Jinzi Miao
Publikováno v:
IEEE Access, Vol 8, Pp 215977-215986 (2020)
Haze has a significant impact on photovoltaic (PV) power generation. When the fine particulate matter reaches a certain concentration, it becomes the main factor affecting solar irradiance and seriously reduces PV power generation, but few quantitati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9400a8c91830025c697df07720a1683
https://doi.org/10.1109/access.2020.3041505
https://doi.org/10.1109/access.2020.3041505
Publikováno v:
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).
In this paper, an extreme learning machine model based on the improved similar day to predict the short-term output of photovoltaic (PV) is presented. The Pearson correlation coefficient is used to analyze the influence of various meteorological fact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22745767b33ffa56e8f4aef87d0103ce
https://doi.org/10.1109/isgt-asia.2019.8881620
https://doi.org/10.1109/isgt-asia.2019.8881620