242 citations · 1.3k across the 18 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 111 cited
Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting
Yanmei Huang, Najmul Hasan, Changrui Deng +1
Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also has a great interest to investors and energy policy maker as well as government. Literat…
cs.LG2021★ 18 cited
Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction
Siyue Yang, Yukun Bao
Epidemics of influenza are major public health concerns. Since influenza prediction always relies on the weekly clinical or laboratory surveillance data, typically the weekly Influ…