no code implementations • 7 Nov 2023 • Wenlong Liao, Benjamin Schäfer, Dalin Qin, Gonghao Zhang, Zhixian Wang, Zhe Yang
To reduce the heavy computational burden of reactive power optimization of distribution networks, machine learning models are receiving increasing attention.
1 code implementation • 14 Jul 2023 • Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang
Based on this, we conducted extensive experiments on load data at different levels, providing a reference for researchers to compare different load forecasting models.
no code implementations • 31 May 2023 • Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yi Wang
The uncertainties in load forecasting can be divided into two types: epistemic uncertainty and aleatoric uncertainty.