0000000000292675
AUTHOR
Peng Xu
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series.
Causality inference has arrested much attention in academic studies. Currently, multiple methods such as Granger causality, Convergent Cross Mapping (CCM), and Noise-assisted Multivariate Empirical Mode Decomposition (NA-MEMD) are introduced to solve the problem. Motivated by the researchers who uploaded the open-source code for causality inference, we hereby present the Matlab code of NA-MEMD Causal Decomposition to help users implement the algorithm in multiple scenarios. The code is developed on Matlab2020 and is mainly divided into three subfunctions: na_memd, Plseries, and cd_na_memd. na_memd is called in the main function to generate the matrix of Intrinsic Mode Functions (IMFs) and P…
Electricity demand response schemes in China: Pilot study and future outlook
Abstract Electricity demand response (DR) improves the overall energy management efficiency and allows for the integration of large-scale renewable energy into the power grid through interactive management and control of the supply and demand sides. However, in China and other emerging countries (e.g., Japan and Australia) with DR programs, the DR market mechanism is not well-established. This is particularly the situation in countries where the state power system is not freely open to participate in the DR market. Previous research has proven that considerable DR resources are largely existing in the demand side; however, the dearth of a market mechanism hinders the development of DR. Henc…