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- W3106646595 abstract "Due to the high proliferation of distributed energy resources, forecasting ability is an essential thing for the power system state estimator. In this paper, dynamic state estimation is modeled as a multivariate time series forecasting problem. Detailed analysis is carried out to understand the patterns and characteristics of voltage-time series. A Vector Auto-Regression (VAR) model is fitted with the training data, and the various parameters required for building a Vector Error Correction Model (VECM) are found out. Finally, VECM is employed for the first time to forecast the voltage values both for single and multiple time steps. The main contribution of the paper is the development of VECM model for power system state forecasting." @default.
- W3106646595 created "2020-12-07" @default.
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- W3106646595 date "2020-11-27" @default.
- W3106646595 modified "2023-10-16" @default.
- W3106646595 title "Vector Error Correction Model for Distribution Dynamic State Estimation" @default.
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- W3106646595 doi "https://doi.org/10.1007/978-981-15-8815-0_2" @default.
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