Probabilistic Solar Power Forecasting Using Multi-Objective Quantile Regression
W Amnuaypongsa, W Wangdee… - 2024 18th International …, 2024 - ieeexplore.ieee.org
This paper presents optimization formulations of quantile regression providing lower and
upper bounds of prediction interval (PI) in probabilistic forecasting. The quality of PI is …
upper bounds of prediction interval (PI) in probabilistic forecasting. The quality of PI is …
Flexible combined heat and power dispatch based on probabilistic prediction of wind power
F Xu, P Qiu, C Ding, Y Lu - 2023 5th Asia Energy and Electrical …, 2023 - ieeexplore.ieee.org
Economic development is accompanied by an increase in energy demand, and the energy
crisis and environmental pollution problems. The integrated energy system can utilize the …
crisis and environmental pollution problems. The integrated energy system can utilize the …
Data-driven dynamic modeling of active distribution networks using artificial intelligence techniques
G Mitrentsis - 2023 - elib.uni-stuttgart.de
Dynamic load models are fundamental components for simulating and analyzing a power
system. Due to their utmost importance, a wide range of dynamic models have been …
system. Due to their utmost importance, a wide range of dynamic models have been …