… , takes into account the robustness and economy, and provides a … Stochastic scheduling
optimization model for virtual power plant of integrated wind-photovoltaicenergy storage system …

… interpretableꎬ and robust hybrid data analytics system[C]. 2018 … recoveryꎬ and railway
applicationsꎬ robust and online large-… stochastic modeling for evaluating schedule robustness of …

… An DPV- load joint temporal scene generation method is proposed … temporal correlation
based on the characteristics of dynamic time warping. And it establishes the mathematical model …

… The significant electrical property change can be resulted from several factors, such as the
structure of coal and rock mass, the fluid … Full waveform inversion based on Stochastic Model …

… Amplifying this understanding with machine learning, we developed an approach for detecting
the stochastic keyhole porosity generation events with submillisecond temporal resolution …

… in developing experimental BBB models, with a particular focus on developing novel brain
therapeutics that require BBB crossing. Historically, BBB models used static transwell systems …

… Then we use the stochastic differential equation to simulate the carbon price and stock price;
and calculate the terminal income of carbon emission control firms in different capital scales …

… , the common characteristics shared by the MTD strategies to improve system security and …
Thereafter, the methods to implement these characteristics are concluded. Moreover, the MTD …

… -specific characteristics, followed by the integration of modality-complementary characteristics
… resolutions of each layer are modified to boost a more discriminative and robust charac- …