Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Ammar Kamoona"'
Autor:
Ammar Kamoona, Hui Song, Kian Keshavarzian, Kedem Levy, Mahdi Jalili, Richardt Wilkinson, Xinghuo Yu, Brendan McGrath, Lasantha Meegahapola
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 171-176 (2023)
Energy demand prediction can benefit electricity consumers, distribution network service providers, and system operators. It heavily depends on auxiliary factors, such as weather parameters (e.g., ambient temperature), which makes this problem more c
Externí odkaz:
https://doaj.org/article/d94dd2ec29124a7e92ed4d231f1e630b
Autor:
Hui Song, Nameer Al Khafaf, Ammar Kamoona, Samaneh Sadat Sajjadi, Ali Moradi Amani, Mahdi Jalili, Xinghuo Yu, Peter McTaggart
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 369-376 (2023)
With the increased uptake of renewable energy resources (RES), power generation from Photovoltaics (PV) cells is gaining momentum and heavily depends on environmental and meteorological conditions. Predicting PV power generation plays an important ro
Externí odkaz:
https://doaj.org/article/1451d0ae12a44a02a1b78b133fbf1315