-
Article
A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer
The development of a new energy generation industry, represented by wind power generation, constitutes a crucial endeavor in attaining the dual carbon goal. Nonetheless, the high-dimensional, nonlinear, and st...
-
Article
Open AccessForecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis
Value at risk (VaR) and expected shortfall (ES) have emerged as standard measures for detecting the market risk of financial assets and play essential roles in investment decisions, external regulations, and r...
-
Article
A newly combination model based on data denoising strategy and advanced optimization algorithm for short-term wind speed prediction
Accurate implementation of short-term wind speed prediction can not only improve the efficiency of wind power generation, but also relieve the pressure on the power system and improve the stability of the grid...
