Robust ensemble of metamodels based on the hybrid error measure
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers of Mechanical Engineering"
DOI: 10.1007/s11465-021-0641-7
Abstract: Metamodels have been widely used as an alternative for expensive physical experiments or complex, time-consuming computational simulations to provide a fast but accurate analysis. However, challenge remains in the prior determination of the most suitable… read more here.
Keywords: error; robust ensemble; ensemble metamodels; engineering problems ... See more keywords
Enhanced Wind Generation Forecast Using Robust Ensemble Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2020.3021578
Abstract: This letter proposes a robust ensemble learning scheme to enhance short-term prediction of wind power generation. The ensemble problem associated with pruning and combination is formulated as a worst-case robust approximation problem, taking forecast uncertainty… read more here.
Keywords: ensemble learning; robust ensemble; wind generation; generation forecast ... See more keywords