Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Configuration</td><td class="align_center">Parameter</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Operating system</td><td class="align_center">Ubuntu Linux 18.04</td></tr><tr><td class="align_left">GPU</td><td class="align_center">NVIDIA GeForce RTX 3050</td></tr><tr><td class="align_left">Memory</td><td class="align_center">64 GB</td></tr><tr><td class="align_left">Software programming</td><td class="align_center"><i>Python</i> 3.8.0</td></tr><tr><td class="align_left">Algorithm framework</td><td class="align_center">PyTorch 1.5</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Running scenarios of simulation experiment.</div>

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Table 1

Table 1: Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid 