Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Liang Huang"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 861-871 (2023)
Aiming at the obvious randomness and intermittent problems of photovoltaic power generation output and charging load of photovoltaic storage and charging station, a photovoltaic power generation prediction model based on long short-term memory neural
Externí odkaz:
https://doaj.org/article/781cbce280b8492995d44fae91044276
Autor:
Shan Huang, Xinhua Ma, Hongzhi Yang, Jianfa Wu, Jian Zhang, Shengxian Zhao, Deliang Zhang, Chunyu Ren, Liang Huang
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1497-1507 (2022)
A representative molecular model of kerogen is the prerequisite to the study on molecular interaction of fluid molecules with organic nanopores of shale. The molecular kerogen model in Silurian deep gas shale from southern China remains to be develop
Externí odkaz:
https://doaj.org/article/a36a4f9bf72a499b9d3818553f5db957
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 485-492 (2021)
Smart power consumption is an important part of ubiquitous power Internet of things. Load identification, as an important part of smart power consumption, is of great significance to users and power grid. Aiming at the problems of long training time
Externí odkaz:
https://doaj.org/article/0a86abaf7ded47cf99f81ad454161598
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 283-292 (2021)
Under the condition of partial shadow occlusion, the P-U curve of the photovoltaic array exhibits the characteristics of multi-peak output. The traditional maximum power point tracking (MPPT) algorithm is easy to fail, and the particle swarm algorith
Externí odkaz:
https://doaj.org/article/0ccc32ea45e14b20a42c7decc21ed42d
Publikováno v:
Energy Reports. 8:8426-8436
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 283-292 (2021)
Under the condition of partial shadow occlusion, the P-U curve of the photovoltaic array exhibits the characteristics of multi-peak output. The traditional maximum power point tracking (MPPT) algorithm is easy to fail, and the particle swarm algorith
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 485-492 (2021)
Smart power consumption is an important part of ubiquitous power Internet of things. Load identification, as an important part of smart power consumption, is of great significance to users and power grid. Aiming at the problems of long training time