Modelling the Partially Observable Markov Decision Process of Reactive Power Dispatching Optimization Based on the Information Failure in the Active Distribution Network and Solving Optimal Strategies by Multi-Agent Actor-Attention-Critic Algorithm

MLA

Yaru Gu, and Xueliang Huang. “Modelling the Partially Observable Markov Decision Process of Reactive Power Dispatching Optimization Based on the Information Failure in the Active Distribution Network and Solving Optimal Strategies by Multi-Agent Actor-Attention-Critic Algorithm.” SSRN Electronic Journal, Jan. 2022. EBSCOhost, https://doi.org/10.2139/ssrn.4129092.

APA

Yaru Gu, & Xueliang Huang. (2022). Modelling the Partially Observable Markov Decision Process of Reactive Power Dispatching Optimization Based on the Information Failure in the Active Distribution Network and Solving Optimal Strategies by Multi-Agent Actor-Attention-Critic Algorithm. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4129092

Chicago

Yaru Gu, and Xueliang Huang. 2022. “Modelling the Partially Observable Markov Decision Process of Reactive Power Dispatching Optimization Based on the Information Failure in the Active Distribution Network and Solving Optimal Strategies by Multi-Agent Actor-Attention-Critic Algorithm.” SSRN Electronic Journal, January. doi:10.2139/ssrn.4129092.