Searched for: subject%3A%22Generative%255C%252BModel%22
(1 - 1 of 1)
document
Wang, C. (author), Sharifnia, E. (author), Gao, Zhi (author), Tindemans, Simon H. (author), Palensky, P. (author)
For planning of power systems and for the calibration of operational tools, it is essential to analyse system performance in a large range of representative scenarios. When the available historical data is limited, generative models are a promising solution, but modelling high-dimensional dependencies is challenging. In this paper, a...
journal article 2022