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1. 1. Deep reinforcement learning for real-time power grid topology optimization

   Kandidat-uppsats, Lunds universitet/Matematisk statistik

   Författare :Jacob Rothschild; [2021]
   Nyckelord :Deep reinforcement learning; Dueling Deep Q-Network; electricity transmission network; real-time topology optimization; sustainable energy; Mathematics and Statistics;

   Sammanfattning : In our pursuit of carbon neutrality, drastic changes to generation and consumption of electricity will cause new and complex demands on the power grid and its operators. A cheap, promising, and under-exploited mitigation is real-time power grid topology optimization (RTTO). LÄS MER